I cancelled Claude: Token issues, declining quality, and poor support

https://nickyreinert.de/en/2026/2026-04-24-claude-critics/

by y42 • 3 months ago

971 582 3 months ago

Claude with Sonnet medium effort just used 100% of my session limit, some extra dollars, thought for 53 minutes, and said:

API Error: Claude's response exceeded the 32000 output token maximum. To configure this behavior, set the CLAUDE_CODE_MAX_OUTPUT_TOKENS environment variable.

giancarlostoro6• 3 months ago

You're using it within their high usage rate window. I hope you're aware of this, if you use it out of the high usage time window it's supposed to use less, but it does seem a little odd that Sonnet uses so much, even on Medium.

drunken_thor2• 3 months ago

Ah so we are only supposed to use this work tool outside of work hours?

jasonlotito• 3 months ago

Just curious, what version of Max are you on: 5x or 20x?

amarcheschi• 3 months ago

And on the seventh day, API Error: Claude's response exceeded the 32000 output token maximum

Oras• 3 months ago

More on the 7th minute if you’re using opus

jansenmac• 3 months ago

Just copy and past the error back to Claude and you will be able to continue. I have seen this many times over the past few months. I thought it was related to AWS bedrock that I have been using - but probably not.

couchdb_ouchdb• 3 months ago

I don't think i'd let it think more than 5 minutes without killing the process.

deckar012• 3 months ago

They changed it do all of the changes in a virtual cloud environment, then dump the final result at the end of the response. Before it would stream changes, so if it made a minimal fix, then decided to go off on a tangent you could stop it quickly. Now you have to wait 5+ minutes to get a single line of code out of it just to find out it also refactored everything and burned a stack of tokens. No amount of prompting seems to force it to make incremental changes locally.

2ndorderthought3• 3 months ago

I hope this doesn't come out wrong but. When this happens do agentic/vibe coders message their boss and say "sorry can't work until tomorrow?"

shepherdjerred• 3 months ago

I write down the time I run out of tokens each day and pray my employer will pay for more

zulban2• 3 months ago

People hired to do jobs they cannot do have many, many more methods than that. For thousands of years.

easythrees• 3 months ago

I have to say, this has been the opposite of my experience. If anything, I have moved over more work from ChatGPT to Claude.

kleene_op• 3 months ago

Same. I am getting crazy good value from Claude at work, on both scientific applications and deployment environments.

There is one caveat, and that is you have to give the model well thought out constraints to guide it properly, and absolutely take the time to read all the thinking it's doing and not be afraid to stop the process whenever things go sideway.

People who just let Claude roam free on their repository deserve everything they end up with.

throwaway2027• 3 months ago

Same. I think one of the issues is that Claude reached a treshold where I could just rely on it being good and having to manually fix it up less and less and other models hadn't reached that point yet so I was aware of that and knew I had to fix things up or do a second pass or more. Other providers also move you to a worse model after you run out which is key in setting expectation as well. Developers knew that that was the trade-off.

I think even with the worse limits people still hated it but when you start to either on purpose or inadvertently make the model dumber that's when there's really no purpose to keep using Claude anymore.

jwaldrip• 3 months ago

I would love to just say that if you are using claude code, you should no be on pro. I feel like all the people complaining are complaining that an agent cant handle the work of a developer for $20/m. Get on at least max 5, its a world of a difference.

willio58• 3 months ago

True that.

Max 5, sonnet for 95% of things. I never run out of tokens in a week and I use it for ~5-6 hours a day.

Larrikin• 3 months ago

It's impossible to justify the jump in the expense unless you are directly working on something that makes you money. Messing around on a hobby project, doing some quick research, and getting personalized notifications was a no brainer for 200 a year.

The product keeps getting worse so I will definitely evaluate options and possibly switch if management keeps screwing up the product.

terrut• 3 months ago

I found the perfect sweet spot for my hobby development. I pay 7 euros for Gemini plus and use it for creating the architecture and technical specs. Those are fed to Sonnet on Pro that just implements the instructions. This gives plenty of space to do long sessions several times a week.

y425• 3 months ago

I dare to call meself a senior dev, so I don't need a replacement, I need a tool.

kin• 3 months ago

For some reason you are being downvoted but I wanted to echo your sentiment. As someone who tries to switch things up for every next task, the productivity of Claude Max is worth every penny.

And I actually read the output to fix what I don't like and ever since Opus 4.5, I've had to less and less. 4.6 had issues at the beginning but that's because you have to manually make sure you change the effort level.

subscribed4• 3 months ago

I'm not a vibe coder or software manufacturer.

I juts need a convenient commandline tool to sometimes analyse the repo and answer a few questions about it.

Am I unworthy of using CC then? Until now I thought Pro entitles me to doing so.

LOL, the elitism is through the roof.

GrumpyGoblin• 3 months ago

Cool

zendarr• 3 months ago

Seems like some of the token issues may be corrected now

https://www.anthropic.com/engineering/april-23-postmortem

minimaxir2• 3 months ago

These changes fixed some of the token issues, but the token bloat is an intrinsic problem to the model, and Anthropic's solution of defaulting to xhigh reasoning for Opus 4.7 just means you'll go through tokens faster anyways.

sgt• 3 months ago

I'm worried anything less than xhigh is insufficient though. What do you do?

giancarlostoro6• 3 months ago

The problem is they changed people's default settings, and if you're like me, you keep a Claude Code session open for days, maybe weeks and even a month, and just come back to it and keep going. I wouldn't be surprised if there's hundreds if not thousands of people still on these broken configurations / models.

Dear Anthropic:

Please, for the love of all things holy, NEVER change someone's defaults without INFORMING the end user first, because you will wind up with people confused, upset, and leaving your service.

varispeed2• 3 months ago

It also seems to me they route prompts to cheaper dumber models that present themselves as e.g. Opus 4.7. Perhaps that's what is "adaptive reasoning" aka we'll route your request to something like Qwen saying it's Opus. Sometimes I get a good model, so I found I'll ask a difficult question first and if answer is dumb, I terminate the session and start again and only then go with the real prompt. But there is no guarantee model will be downgraded mid session. I wish they just charged real price and stopped these shenanigans. It wastes so much time.

dswalter• 3 months ago

You're describing a Taravangian prompt situation (a character in a book series who wakes up with a different/random intelligence level each day and has a series of tests for himself to determine which kind of decisions he's capable of that day). https://coppermind.net/wiki/Taravangian

DeathArrow3• 3 months ago

I use Claude Code with GLM, Kimi and MiniMax models. :)

I was worried about Anthropic models quality varying and about Anthropic jacking up prices.

I don't think Claude Code is the best agent orchestrator and harness in existence but it's most widely supported by plugins and skills.

droidjj• 3 months ago

Where are you getting inference from? I'm overwhelmed by the options at the moment.

alex-onecard2• 3 months ago

I am also curious. Considering the kimi coding plan but I'm worried about data privacy and security.

DeathArrow3• 3 months ago

I am using Ollama Cloud and Moonshot Ai.

cbg0• 3 months ago

I've been a fan since the launch of the first Sonnet model and big props for standing up to the government, but you can sure lose that good faith fast when you piss off your paying customers with bad communication, shaky model quality and lowered usage limits.

giancarlostoro6• 3 months ago

I'm torn because I use it in my spare time, so I've missed some of these issues, I don't use it 9 to 5, but I've built some amazing things, when 1 Million tokens dropped, that was peak Claude Code for me, it was also when I suspect their issues started. I've built up some things I've been drafting in my head for ages but never had time for, and I can review the code and refine it until it looks good.

I'm debating trying out Codex, from some people I hear its "uncapped" from others I hear they reached limits in short spans of time.

There's also the really obnoxious "trust me bro" documentation update from OpenClaw where they claim Anthropic is allowing OpenClaw usage again, but no official statement?

Dear Anthropic:

I would love to build a custom harness that just uses my Claude Code subscription, I promise I wont leave it running 24/7, 365, can you please tell me how I can do this? I don't want to see some obscure tweet, make official blog posts or documentation pages to reflect policies.

Can I get whitelisted for "sane use" of my Claude Code subscription? I would love this. I am not dropping $2400 in credits for something I do for fun in my free time.

fluidcruft4• 3 months ago

It sounds like we have very similar usage/projects. codex had been essentially uncapped (via combination of different x-factors between Plus and Pro and promotions) until very recently when they copied Anthropic's notes.

Plus is still very usable for me though. I have not tried Claude Pro in quite a while and if people are complaining about usage limits I know it's going to be a bad time for me. I had to move up from Claude Pro when the weekly limits were introduced because it was too annoying to schedule my life around 5hr windows.

I started using codex around December when I started to worry I was becoming too dependent on Claude and need to encourage competition. codex wasn't particularly competitive with Claude until 5.4 but has grown on me.

The only thing I really care about is that whatever I'm using "just works" and doesn't hurt limits and Claude code has been flaky as all hell on multiple fronts ever since everyone discovered it during the Pentagon flap. So I tend to reach for ChatGPT and codex at the moment because it will "just work" and there's a good chance Claude will not.

dheera• 3 months ago

Claude Code now has an official telegram plugin and cron jobs and can do 80% of the things people used OpenClaw for if you just give it access to tools and run it with --dangerously-skip-permissions.

Der_Einzige• 3 months ago

The /loop command which is supposed to be the equivilant to heartbeat.md is EXTREMELY unreliable/shitty.

giancarlostoro6• 3 months ago

I don't use OpenClaw is what I'm saying though, I use Claude Code for coding, and would like to better equip Claude by a custom coding harness that has superior tooling out of the box, but that is fair.

scottyah• 3 months ago

Don't forget, Openclaw was basically bought by OpenAI so there's only incentive to use it as a wedge to pry people off Anthropic.

janwillemb2• 3 months ago

This is what worries me. People become dependent on these GenAI products that are proprietary, not transparant, and need a subscription. People build on it like it is a solid foundation. But all of a sudden the owner just pulls the foundation from under your building.

GaryBluto• 3 months ago

Luckily local AI is becoming more feasible every day.

ModernMech2• 3 months ago

I love how it's just a tacit understanding that these companies' entire MO is to carve out a territory, get everyone hooked on the good stuff and then jack up the price when they're addicted and captured -- literally the business plan of crack dealers, and it's just business as usual in the tech industry.

Someone12345• 3 months ago

It feels more and more like OpenAI/Anthoropic aren't the future but Qwen, Kimi, or Deepseek are. You can run them locally, but that isn't really the point, it is about democratization of service providers. You can run any of them on a dozen providers with different trade-offs/offerings OR locally.

They won't ever be SOTA due to money, but "last year's SOTA" when it costs 1/4 or less, may be good enough. More quantity, more flexibility, at lower edge quality. It can make sense. A 7% dumber agent TEAM Vs. a single objectively superior super-agent.

That's the most exciting thing going on in that space. New workflows opening up not due to intelligence improvements but cost improvements for "good enough" intelligence.

fourside• 3 months ago

Maybe for folks who are deep into this, but it’s not exactly accessible. I tried reading up on it a couple of months ago, but parsing through what hardware I needed, the model and how to configure it (model size vs quantization), how I’d get access to the hardware (which for decent results in coding, new hardware runs $4k-$10k last I checked)—it had a non trivial barrier of entry. I was trying to do this over a long weekend and ran out of time. I’ll have to look into it again because having the local option would be great.

Edit: the replies to my comment are great examples of what I’m talking about when I say it’s hard to determine what hardware I’d need :).

politelemon• 3 months ago

Feasibility on commodity hardware would be the true watermark. Running high end computers is the only way to get decent results at the moment, but if we can run inference on CPUs, NPUs, and GPUs on everyday hardware, the moat should disappear.

aleqs3• 3 months ago

Indeed, I feel like we are in the early computer equivalent phase of AI, where giant expensive hardware is still required for frontier models. In 5 years I bet there will be fully open models we'll be able to run on a few $1000 of consumer hardware with equivalent performance to opus 4.7/4.6.

andyfilms1• 3 months ago

Sure, but local AI is still a black box. They can be influenced by training data selection, poisoning, hidden system prompts, etc. That recent Wordpress supply chain hack goes to show that the rug can still be pulled even if the software is FOSS.

root_axis3• 3 months ago

Not really. The hardware requirements remain indefinitely out of reach.

Yes, it's possible to run tiny quantized models, but you're working with extremely small context windows and tons of hallucinations. It's fun to play with them, but they're not at all practical.

nozzlegear2• 3 months ago

I've been using local AI via LM Studio ever since I canceled my Claude subscription. It's obviously slower than Claude on my M1 Studio[†], but like someone else said, I use AI more like a copilot than an autopilot. I'm pretty enthused that I can give it a small task and let it churn through it for a few minutes, while I work on something alongside – all for free with no goddamned arbitrary limits.

[†] The latest Qwen 3.6 whatever has been a noticeable improvement, and I'm not even at the point where I tweak settings like sampling, temperature, etc. No idea what that stuff does, I just use the staff picks in LM Studio and customize the system prompts.

gip• 3 months ago

True. That is why it is key important to have open source and sovereign models that will be accessible to all and always on / local.

Competition (OpenAI vs Anthropic is fun to watch) and open source will get us there soon I think.

sdevonoes• 3 months ago

The sooner you cancel the sooner you become independent of them

derektank• 3 months ago

You could say the same thing about your mobile phone bill. Most people still consider the benefits of roaming access to the internet greater than the downsides of being dependent on it.

tetha• 3 months ago

The owner rug-pulls, or Broadcom buys the owner and starts squeezing.

jjfoooo4• 3 months ago

But these products are all drop in replacements for each other. I've recently favored Codex more than CC, just because rate limits got mildly annoying. I really didn't have to change anything about my workflow in doing that.

Capricorn24814• 3 months ago

But these products are all drop in replacements for each other

For now. That doesn't really change the risk, that just means they are all hyper competitive right this moment, and so they are comparable. If one of them becomes king of the hill, nothing stops them from silently degrading or jacking prices.

The only shield is to not be dependent in the first place. That means keeping your skills sharp and being willing to pass on your knowledge to juniors, so they aren't dependent on these things.

Of course, many people are building their business on huge AI scaffolding. There's nothing they can do.

SwellJoe4• 3 months ago

At least some of the investors in this tech are hoping for a monopoly position. They'd like to outspend the competition to get an insurmountable lead, at which point they can set their price.

But, so far, competition remains fierce. Anthropic still has the best tools for writing code. That lead is smaller than it's ever been, though. But, honestly, Opus 4.5 is when it got Good Enough. If Anthropic suddenly increased prices beyond what I'm willing to pay, any model that gives me Opus 4.5 or better performance is good enough for the vast majority of the work I do with agents. And, there are a bunch of models at that level, now maybe including some discount Chinese models. Certainly Gemini Pro 3.1 is on par with Opus 4.5. Current Codex is better than Opus 4.5 and close to Opus 4.7 (though I won't use OpenAI because I don't trust them to be the dominant player in AI).

I often switch agents/models on the same project because I like tinkering with self-hosted and I like to keep an eye on the most efficient way to work...which models wastes less of my time on silly stuff. Switching is literally nothing; I run `gemini` or `copilot` or `hermes` instead of `claude`. There's simply no deep dependency on a specific model or agent. They're all trying to find ways to make unique features for people to build a dependence on, of course, but the top models are all so fucking smart you can just tell them to do whatever thing it is that you need done. That feature could probably be a skill, whatever it is, and the model can probably write the skill. Or, even better, it could be actual software, also written by the model, rather than a set of instructions for the model to interpret based on the current random seed.

Currently, the only consistent moat is making the best model. Anthropic makes the best model and tools for coding, but that's a pretty shallow moat...I could live with several other models for coding. I'll gladly pay a premium for the best model and tools for coding, but I also won't be devastated if I suddenly don't have Claude Code tomorrow. Even open models I can host myself are getting very close to Good Enough.

agumonkey• 3 months ago

Some people are so dependent on it they can't even say it without twisting words to hide the fact that they're now stuck at zero

blueone• 3 months ago

Anthropic sells due to unrelenting pressure and unachievable demand > new owner cuts costs > models become worse > new owner sells > the capitalistic cycle wins > we, the people, suffer

fortyseven2• 3 months ago

This is why, despite enjoying all of this, I really want to focus on locally hosted models. If we don't host the technology ourselves, we're setting ourselves up for a hard fall down the line.

Until very recently, local models been little more than brittle toys in my experience, if you're trying to use them for coding.

But lately I've been running Pi (minimal coding agent harness) with Gemma4 and Qwen3.6 and I've been blown away by how capable and fast they are compared to other models of their size. (I'm using the biggest that can fit into 24gb, not the smaller ones.) In fact, I don't really need to reach for Claude and friends much of the time (for my use cases at least).

2ndorderthought3• 3 months ago

Imagine if anthropic and openai went bankrupt in the next 2 years. If you look at their financials its a real possibility.

_the_inflator• 3 months ago

“In the future there might be the possibility that catastrophic event A could happen.”

Not the best argument.

Also there is nothing without dependencies. Loose coupling means coupling.

pmarsh• 3 months ago

For the sake of argument if you build on AWS is that any more of a solid foundation? You're beholden to Amazon, unless you have the bandwidth to be able to DR immediately to another provider.

janwillemb2• 3 months ago

That is indeed a similar problem. Europe is now aware of this problem and starting to mitigate it, to reduce dependencies on big tech - how hard that may be.

notjes• 3 months ago

Soon, a dented toaster will be enough to run decent models.

drunken_thor2• 3 months ago

AI services are only minorly incentivized to reduce token usage. They want high token usage, it makes you pay more. They are going to continually test where the limit is, what is the max token usage before you get angry. All AI companies will continue to trade places for token use and cost as cost increases. We are in tepid water pretending it is a bath pretending we aren’t about to be boiled frogs.

y425• 3 months ago

That's what I am thinking, too. It sound's like a conspiracy theory, but at the end Anthropic et al benefits from models that don't finish their jobs. I recently read about this "over editing phenomenon". The machine is never done. It doesn't want to.

It's like dating apps. They don't want you to find a good match, because then you cancel the subscription.

biglyburrito• 3 months ago

Which works fine, right up until China releases a new DeepSeek model that's 85% as capable as an Anthropic or OpenAI premium model but costs a fraction of what either of those US companies are charging.

Speaking of which:

https://www.cnbc.com/2026/04/24/deepseek-v4-llm-preview-open...

zzzeek• 3 months ago

Well that's why threads like this are important to upvote. On hacker news , they're angry !

minimaxir2• 3 months ago

To an extent. That economic incentive stops making sense when a) capacity is an actual constraint and b) Anthropic is not a monopoly and is subject to pressure from competitors who are more user-friendly.

jedberg• 3 months ago

People said this about AWS too. "Why would they save you money??". It turns out that every time they reduce prices, they make more money, because more people use their services.

AI companies have the same incentive. Make it cheaper and people will use it more, making you more money (assuming your price is still above cost). And of course they have every reason to reduce their on costs.

zormino• 3 months ago

jevons paradox

esperent2• 3 months ago

AWS is notorious for being extremely expensive, so it's not like they became cheap. They just reduce prices from extremely expensive to slightly less extremely expensive, and that makes more people decide to start using it.

Since the price they are charging is still way, way above their operating costs there's no surprise really that they end up making more from small price reductions.

If competition drove them to reduce costs to the point where their operating costs started to be a large factor, the paradox would disappear.

GodelNumbering• 3 months ago

I am betting on the fact that people will get increasingly frustrated at closed agent lock-ins. I built (cline fork) and open-sourced https://github.com/dirac-run/dirac with the sole focus on token efficiency expecting that the closed-lock-in vendors will do enough to frustrate their users over time. Looking for contributors

nananana9• 3 months ago

Up to a point. There is incentive when they get to the point where they literally can't serve their userbase and customers start leaving.

estimator72923• 3 months ago

I severely doubt it. Token spend translates to real cost for the provider. Each token involves real and expensive compute. They aren't free monopoly money you get billed arbitrarily for. You're paying for electricity and infrastructure involved in generating each token.

Less spend means less real cost to the provider while your flat monthly subscription stays the same price. As well, reducing token use per customer means you can over-subscribe even harder, allowing for more flat monthly subscriptions.

Less tokens = more free capacity = more subscription income.

zkmon3• 3 months ago

Yesterday was a realization point for me. I gave a simple extraction task to Claude code with a local LLM and it "whirred" and "purred" for 10 minutes. Then I submitted the same data and prompt directly to model via llama_cpp chat UI and the model single-shotted it in under a minute. So obviously something wrong with coding agent or the way it is talking to LLM.

Now I'm looking for an extremely simple open-source coding agent. Nanocoder doesn't seem install on my Mac and it brings node-modules bloat, so no. Opencode seems not quite open-source. For now, I'm doing the work of coding agent and using llama_cpp web UI. Chugging it along fine.

jedisct1• 3 months ago

Swival is not bloated and was specifically made for local agents: https://swival.dev

pferdone• 3 months ago

pi.dev as well

syhol• 3 months ago

https://pi.dev/ seems popular, whats not open source about opencode? The repo has an MIT License.

tfrancisl2• 3 months ago

Some people believe only copyleft licenses are open source. They're right on principle, wrong in (legal) practice.

zkmon3• 3 months ago

Maybe it's just my feeling. It asks to update/upgrade continuously.

fortyseven2• 3 months ago

Been LOVING Pi so far!

xlii• 3 months ago

+1 for pi. I used claude and opencode but pi is the first agent tool that made me excited about the whole thing.

enraged_camel• 3 months ago

I use both Cursor and Claude Code, and yes, the latter is noticeably slower with the same model at the same settings.

However, it's hard to justify Cursor's cost. My bill was $1,500/mo at one point, which is what encouraged me to give CC a try.

appcustodian2• 3 months ago

Just in case it didn't occur to you already, you can just build whatever coding agent you want. They're pretty simple

banditelol• 3 months ago

what model you used with llama_cpp?

zkmon3• 3 months ago

Qwen3.6-35B quant-4 gguf

SyneRyder• 3 months ago

Probably a silly idea, but I'll throw it into the mix - have your current AI build one for you. You can have exactly the coding agent you want, especially if you're looking for "extremely simple".

I got annoyed enough with Anthropic's weird behavior this week to actually try this, and got something workable up & running in a few days. My case was unique: there's no Claude Code for BeOS, or my older / ancient Macs, so it was easier to bootstrap & stitch something together if I really wanted an agentic coding agent on those platforms. You'll learn a lot about how models actually work in the process too, and how much crazy ridiculous bandaid patching is happening Claude Code. Though you might also appreciate some of the difficulties that the agent / harnesses have to solve too. (And to be clear, I'm still using CC when I'm on a platform that supports it.)

As for the llama_cpp vs Claude Code delays - I've run into that too. My theory is API is prioritized over Claude Code subscription traffic. API certainly feels way faster. But you're also paying significantly more.

btbuildem2• 3 months ago

You can run CC with local models, it's pretty straightforward. I've done this with vLLM + a thin shim to change the endpoint syntax.

btbuildem2• 3 months ago

You'd figure by now we would have something between a TUI and an IDE.

hedgehog• 3 months ago

I used Opus via Copilot until December and then largely switched over to Claude Code. I'm not sure what the difference is but I haven't seen any of these issues in daily use.

bad_haircut72• 3 months ago

Waiting 60s every time I send a msg really kills the ux of claude

bauerd• 3 months ago

They can't afford to care about individual customers because enterprise demand exploded and they're short on compute

aleqs3• 3 months ago

The usage metering is just so incredibly inconsistent, sometimes 4 parallel Opus sessions for 3 hours straight on max effort only uses up 70% of a session, other times 20 mins / 3 prompts in one session completely maxes it out. (Max x20 plan) Is this just a bug on anthropic side or is the usage metering just completely opaque and arbitrary?

unshavedyak• 3 months ago

It's something strange because i never have these issues. I often run two in parallel (though not all day), and generally have something running anytime i look at my laptop to advance the steps/tasks/etc. Usually i struggle to hit 50% on my Max20.

Heck two weeks ago i tried my hardest to hit my limit just to make use of my subscription (i sometimes feel like i'm wasting it), and i still only managed to get to 80% for the week.

I generally prune my context frequently though, each new plan is a prune for example, because i don't trust large context windows and degradation. My CLAUDE.md's are also somewhat trim for this same fear and i don't use any plugins, and only a couple MCPs (LSP).

No idea why everyone seems to be having such wildly different experiences on token usage.

subscribed4• 3 months ago

Maybe you should try running exactly the same prompts in exactly the same settings?

Chances are one of you has been drafted into an unpleasant experiment.

stldev• 3 months ago

Same, after being a long-time proponent too.

First was the CC adaptive thinking change, then 4.7. Even with `/effort max` and keeping under 20% of 1M context, the quality degradation is obvious.

I don't understand their strategy here.

siliconc0w• 3 months ago

Shameless self plug but also worried about the silent quality regressions, I started building a tool to track coding agent performance over time.. https://github.com/s1liconcow/repogauge

Here is a sample report that tries out the cheaper models + the newest Kimi2.6 model against the 5.4 'gold' testcases from the repo: https://repogauge.org/sample_report.

conception• 3 months ago

This is cool - just wanted to note https://marginlab.ai is one that has been around for a while.

aleksiy123• 3 months ago

are there any tools anyone knows to collect this kind of telemetry while using the tools instead of offline evals.

running evals seems like it may be a bit too expensive as a solo dev.

lanthissa• 3 months ago

for all the drama, its pretty clear both openai, google, and anthropic have had to degrade some of their products because of a lack of supply.

There's really no immediate solution to this other than letting the price float or limiting users as capacity is built out this gets better.

rectang3• 3 months ago

I feel like I'm using Claude Opus pretty effectively and I'm honestly not running up against limits in my mid-tier subscriptions. My workflow is more "copilot" than "autopilot", in that I craft prompts for contained tasks and review nearly everything, so it's pretty light compared to people doing vibe coding.

The market-leading technology is pretty close to "good enough" for how I'm using it. I look forward to the day when LLM-assisted coding is commoditized. I could really go for an open source model based on properly licensed code.

cyanydeez3• 3 months ago

Honestly, it sounds like, assuming you have no ethical qualms, you could get by with a Mac or AMD 395+ and the newest models, specifically QWEN3.5-Coder-Next. It does exactly as you describe. It maxes out around 85k context, which if you do a good job providing guard rails, etc, is the length of a small-medium project.

It does seem like the sweet spot between WallE and the destroyed earth in WallE.

ethicalqualms• 3 months ago

Sorry, out of the loop. Which ethical qualms are you referring to?

hadlock• 3 months ago

Seems like AMD 395+ is only about 16 tokens/s which is 25-33% the speed of SOTA models. Break even on a $3000 machine is ~15 months

Retr0id2• 3 months ago

I also use it this way and I'm overall pretty happy with it, but it feels like they really want us to use it in "autopilot" mode. It's like they have two conflicting priorities of "make people use more tokens so we can bill them more" and "people are using more tokens than expected, our pricing structure is no longer sustainable"

(but I guess they're not really conflicting, if the "solution" involves upgrading to a higher plan)

fluidcruft4• 3 months ago

I feel like they are making it harder to use it this way. Encouraging autonomous is one thing, but it really feels more like they are handicapping engaged use. I suspect it reflects their own development practices and needs.

naravara• 3 months ago

I think the culty element of AI development is really blinding a lot of these companies to what their tools are actually useful for. They’re genuinely great productivity enhancers, but the boosters are constantly going on about how it’s going to replace all your employees and it’s just. . .not good for that! And I don’t mean “not yet” I mean I don’t see it ever getting there barring some major breakthrough on the order of inventing a room-temp superconductor.

dandaka2• 3 months ago

autopilot (yolo mode) is amazing and feels great, truly delegate instead of hand-holding on every step

llm_nerd2• 3 months ago

I have Max 5x and use only Claude Opus on xhigh mode. I don't use agents, or even MCPs, and stick to Claude Code.

I find it incredibly difficult to saturate my usage. I'm ending the average week at 30-ish percentage, despite this thing doing an enormous amount of work for (with?) me.

Now I will say that with pro I was constantly hitting the limit -- like comically so, and single requests would push me over 100% for the session and into paying for extra usage -- and max 5x feels like far more than 5x the usage, but who knows. Anthropic is extremely squirrely about things like surge rates, and so on.

I'm super skeptical of the influx of "DAE think Opus sucks now. Let's all move to Codex!" nonsense that has flooded HN. A part of it is the ex-girlfriend thing where people are angry about something and try to force-multiply their disagreement, but some of it legitimately smells like astroturfing. Like OpenAI got done pay $100M for some unknown podcaster and start hiring people to write this stuff online.

NewsaHackO2• 3 months ago

Yea, I never got how people are even able to hit the weekly limits so consistently. Maybe it's because they use it for work? But in that case, you would expect the employer to cover it so idk.

I'm super skeptical of the influx of "DAE think Opus sucks now. Let's all move to Codex!" nonsense that has flooded HN. A part of it is the ex-girlfriend thing where people are angry about something and try to force-multiply their disagreement, but some of it legitimately smells like astroturfing. Like OpenAI got done pay $100M for some unknown podcaster and start hiring people to write this stuff online.

A lot of people are angry about the whole openclaw situation. They are especially bitter that when they attempted to justify exfiltrating the OAuth token to use for openclaw, nobody agreed with them that they had the right to do so, and sided with Claude that different limits for first-party use is standard. So they create threads like this, and complain about some opaque reason why Anthropic is finished (while still keeping their subscription, of course).

RealStupidity• 3 months ago

If only OpenAI spent a significant amount of money on some kind of generative software that was predominantly trained on internet comments that'd be able to do all the astroturfing for them...

pixelpoet• 3 months ago

I was in the same boat until last few days, where just a handful queries were enough to saturate my 5h session in about 30 mins.

Recently I've gotten Qwen 3.6 27b working locally and it's pretty great, but still doesn't match Opus; I've gotten check out that new Deepseek model sometime.

taytus3• 3 months ago

I'd recommend Kimi k2.6 for your use. It is an excellent model at a fraction of the cost, and you can use Claude Code with it.

I did a 1:1 map of all my Claude Code skills, and it feels like I never left Opus.

Super happy with the results.

wolttam2• 3 months ago

I was saying the same until DeepSeek v4 this morning... sorry, Kimi. The competition is intense!

ramoz• 3 months ago

What provider do you use for Kimi

folmar• 3 months ago

If you don't use a lot of quota the cheapest monthly Claude Code is $20, Kimi Code is $19, i.e. the cost difference is minuscule.

Kimi wants my phone number on signup so a no-go for me.

spaceman_20202• 3 months ago

did you just copy-paste or is there a difference in the way kimi uses skills?

goalieca• 3 months ago

Similar with the copilot and not autopilot usage. I find its the best of them all. Mostly i just use it as an occasionnal search engine. I've never found LLMs to be efficient to actually do work. I do miss the day when tech docs were usable. Claude seems like a crutch for gaps in developer experience more than anything.

raincole2• 3 months ago

the day when LLM-assisted coding is commoditized

Like yesterday? LLM-assisted coding is $100/mo. It looks very commoditized when most houses in developed world pay more for electricity than that.

My definition of LLM-assisted coding is that you fully understand every change and every single line of the code. Otherwise it's vibe coding. And I believe if one is honest to this principle, it's very hard to deplete the quota of the $100 tier.

sidrag224• 3 months ago

fully understand every change and every single line of the code.

im probably just not being charitable enough to what you mean, but thats an absurd bar that almost nobody conforms to even if its fully handwritten. nothing would get done if they did. But again, my emphasis is on that im probably just not being charitable to what you mean.

windexh8er2• 3 months ago

Like yesterday? LLM-assisted coding is $100/mo. It looks very commoditized when most houses in developed world pay more for electricity than that.

But, it's not $100/mo. I think the best showcase of where AI is at is on the generative video side. Look at players like Higgsfield. Check out their pricing and then go look at Reddit for actual experiences. With video generation the results are very easy to see. With code generation the results are less clear for many users. Especially when things "just work".

Again, it's not $100/month for Anthropic to serve most uses. These costs are still being subsidized and as more expensive plans roll out with access to "better" models and "more* tokens and context the true cost per user is slowly starting to be exposed. I routinely hit limits with Anthropic that I hadn't been for the same (and even less) utilization. I dumped the Pro Max account recently because the value wasn't there anymore. I am convinced that Opus 3 was Anthropic's pinnacle at this point and while the SotA models of today are good they're tuned to push people towards paying for overages at a significantly faster consumption rate than a right sized plan for usage.

The reality is that nobody can afford to continue to offer these models at the current price points and be profitable at any time in the near future. And it's becoming more and more clear that Google is in a great position to let Anthropic and OAI duke it out with other people's money while they have the cash, infrastructure and reach to play the waiting game of keeping up but not having to worry about all of the constraints their competitors do.

But I'd argue that nothing has been commoditized as we have no clue what LLMs cost at scale and it seems that nobody wants to talk about that publicly.

BowBun• 3 months ago

In industry, the cost is more than 100/mo for engineers. With increased adoption and what I know now, I expect full time devs to rack up $500-$2000 usage bills if they're going full parallel agentic dev. Personal usage for projects and non-production software is not a benchmark IMO

rectang3• 3 months ago

Commoditization will be complete for my purposes when an LLM trained on a legitimately licensed corpus can achieve roughly what Opus 4.5+ or the highest powered GPTs can today.

I anticipate a Napster-style reckoning at some point when there's a successful high-profile copyright suit around obviously derivative output. It will probably happen in video or imagery first.

fsckboy• 3 months ago

LLM-assisted coding is $100/mo. It looks very commoditized when most houses in developed world pay more for electricity than that.

this is a small nit, but you still have to pay your electric bill, the $100/mo is on top of that. if you're doing cost accounting you don't want to neglect any costs. Just because you can afford to lease a car, doesn't mean you can afford to lease a 2nd car.

dboreham3• 3 months ago

Same. Never hit a limit. Use it heavily for real work. Never even thought of firing off an LLM for hours of...something. Seems like a recipe for wasting my time figuring out what it did and why.

algoth1• 3 months ago

Doesn't "poor support" implies that there is some sort of support? Shouldnt it be "no support"

ipaddr• 3 months ago

You get to talk to an AI agent

isjcjwjdkwjxk2• 3 months ago

Oh no, the unreliable product people pretend is the next coming of Jesus turned out to be thoroughly unreliable. Who coulda thunk it.

petterroea2• 3 months ago

Looking at Anthropic's new products I think they understand they don't really have a cutting edge other than the brand.

I tried Kimi 2.6 and it's almost comparable to Opus. Anthropic lost the ball. I hope this is a sign the we are moving towards a future where model usage is a commodity with heavy competition on price/performance

alex-onecard2• 3 months ago

How are you using kimi 2.6? I am considering their coding plan to replace my claude max 5x but I am worried about privacy and security.

ac292• 3 months ago

I'm using it via OpenCode Go, which claims to only use Zero Data Retention providers.

How much you trust any particular provider's claim to not retain data is subjective though.

petterroea2• 3 months ago

I'm only using it for a project I'm already expecting to open source later. Don't think I'm comfortable using it for more private work

jetbalsa• 3 months ago

I've been mostly using Kimi has a hacker of sorts, putting it places I want to attach AI directly as their API for their plans are not completely user hostile. Need to do OCR for scanning Magic the Gathering Cards. Sure!, have it attached to X4: Foundations as a AI manager for some stuff. sounds fun. Can't really do that with claude

mmonaghan• 3 months ago

Kimi nowhere close to opus on extended use but definitely highly competitive with sonnet. I will probably end up using kimi for personal stuff when I find some time to get it running or get a non-anthropic/openai harness set up on my personal machine.

system23• 3 months ago

Same here. The single prompt burnt all my tokens in 3 minutes for the day. What happened to Claude in the last 2 months? I was happy with what they were providing and was happy to pay whatever for it. Why did they mess with it? Why are they destroying the tool we all loved?

I hate enshittification and I hate seeing this happening to Claude Code right now.

mwigdahl2• 3 months ago

What level of subscription are you on? If you're complaining about running out of tokens but are happy to pay "whatever" for it, it should be Max 20x, yes? And one prompt drained all your tokens for the day on Max 20x?

system23• 3 months ago

I am on max 10x ($100 a month). I asked it to summarize a small codebase (2000 lines). Instead, it ran 4 agents in the background, and those agents went nuts, started reading everything and related dependencies, and sucked all my daily quota, forcing me to wait till 2 AM to continue using.

Up until last month, a $100 plan was more than enough, and it was difficult to run out of tokens per day for me. Something fundamentally changed, and Claude started making more mistakes and using more tokens. I know I am not tripping because I used it for over a year; this is absolutely new.

rvz• 3 months ago

The great de-skilling programme continues in Anthropic's casino. They completely want you dependent on gambling tokens on their slot machines with extortionate prices, fees and limits.

Anthropic can't even scale their own infrastructure operations, because it does not exist and they do not have the compute; even when they are losing tens of billions and can nerf models when they feel like it.

Once again, local models are the answer and Anthropic continues to get you addicted to their casino instead of running your own cheaper slot machine, which you save your money.

Every time you go to Anthropic's casino, the house always wins.

pram• 3 months ago

I’ve noticed most of the complaints are about the Pro plan. Anecdotally I pay for the $200 Max plan and haven’t noticed anything radically different re: tokens or thinking time (availability is still a crapshoot)

I am certainly not saying people should “spend more money,” more like the Claude Code access in the Pro plan seems kind of like false advertising. Since it’s technically usable, but not really.

thebitguru• 3 months ago

My guess is that the higher plans will be next, especially as more people upgrade to those and maximize their usage.

swiftcoder• 3 months ago

I am certainly not saying people should “spend more money,” more like the Claude Code access in the Pro plan seems kind of like false advertising

Its particularly noticeable when for a long time you could work an 8 hour day in codex on ChatGPT´s $20/month plan (though they too started tightening the screws a couple of weeks back)

vondur• 3 months ago

Wait, weren't there posts in the not too distant past where everyone was signing the praises for Claude and wondering how OpenAI will catch up?

cyanydeez3• 3 months ago

Wait, are SaaS's fundamentally shifting business models searching to maximize the value of a product at the expense of a customer over time?

Strange how things can change!

Capricorn24814• 3 months ago

We've seen this sentiment shift on HN like 20 times in the past year, too often for it to be a real reflection of service quality. Feels more like people rooting for sports teams.

The services (OpenAI, Anthropic) are not wildly changing that much. People are just using LLMs more and getting frustrated because they were told it would change the world, and then they take it out on their current patron. Give it a month and we'll be hearing how far OpenAI has fallen behind.

swader9992• 3 months ago

Yep. I think the sentiment here isn't lagging too much in terms of the day to day experience of what is being offered. Kind of makes HN very useful in this regard.

scuff3d• 3 months ago

Welcome to the future. Anthropic is currently speed running it but this is what all LLM tools are going to look like in the next few years, once they turn the enshitification corner.

anonyfox• 3 months ago

My max20 sub is sitting unused since april mostly now, codex with 5.4 (and now 5.5) even with fast mode (= double token costs) is night and day. Opus is doing convincing failures and either forgets half the important details or decides to do "pragmatic" (read: technical debt bandaids or worse) silently and claims success even with everything crashing and burning after the changes. and point out the errors it will make even more messes. Opus works really well for oneshotting greenfield scopes, but iterating on it later or doing complex integrations its just unusable and even harmfully bad.

GPT 5.4+ takes its time and considers even edgecases unprovoked that in fact are correct and saves me subsequent error hunting turns and finally delivers. Plus no "this doesn't look like malware" or "actually wait" thinking loops for minutes over a oneliner script change.

fluidcruft4• 3 months ago

My mental model for LLM is I don't expect them to chew gum and walk at the same time. Cleaning code up is a different task from building new functionality.

GLM always feels like it's doing things smarter, until you actually review the code. So you still need the build/prune cycle. That's my experience anyway.

jorjon• 3 months ago

Can I get that max20 if you are not using it?

cmrdporcupine• 3 months ago

Most "productive" flow I found was when I had both memberships and let Claude do the "I go yeet your feature" side and Codex do the "WTF bro, that's full of race conditions!" review phase.

But now I just use Codex. Claude is unreliable and leaves data races all over and leaves, as you say, negative conditions unhandled fairly consistently.

drivebyhooting• 3 months ago

Imagine vibe coding your core consumer application and associated backend…

Oh wait, I don’t have to imagine. That’s what Anthropic does. A nice preview for what is in store for those who chose to turn off their brains and turn on their AI agents.

danjl• 3 months ago

This sounds just like all my neighbors complaining about their internet provider.

nickdothutton• 3 months ago

Switched to local models after quality dropped off a cliff and token consumption seemed to double. Having some success with Qwen+Crush and have been more productive.

tfrancisl2• 3 months ago

Would love some more info on how you got any local model working with Crush. Love charmbracelet but the docs are all over the place on linking into arbitrary APIs.

porkloin• 3 months ago

assuming you have a locally running llama-server or llama-swap, just drop this into your crush.json with your setup details/local addresses etc:

Edit: i forgot HN doesn't do code fences. See https://pastebin.com/2rQg0r2L

Obviously the context window settings are going to depend on what you've got set on the llama-server/llama-swap side. Multiple models on the same server like I have in the config snippet above is mostly only relevant if you're using llama-swap.

TL;DR is you need to set up a provider for your local LLM server, then set at least one model on that server, then set the large and small models that crush actually uses to respond to prompts to use that provider/model combo. Pretty straightforward but agree that their docs could be better for local LLM setups in particular.

For me, I've got llama-swap running and set up on my tailnet as a [tailscale service](https://tailscale.com/docs/features/tailscale-services) so I'm able to use my local LLMs anywhere I would use a cloud-hosted one, and I just set the provider baseurl in crush.json to my tailscale service URL and it works great.

binaryturtle• 3 months ago

I have a simple rule: I won't pay for that stuff. First they steal all my work to feed into those models, afterwards I shall pay for it? No way!

I use AI, but only what is free-of-charge, and if that doesn't cut it, I just do it like in the good old times, by using my own brain.

mrinterweb• 3 months ago

My recent frustration with Claude has been it feels like I'm waiting on responses more. I don't have historical latency to compare this with, but I feel like it has been getting slower. I may be wrong, and maybe its just spending more time thinking than it used to. My guess is Anthropic is having capacity issues. I hope I'm wrong because I don't want to switch.

janalsncm3• 3 months ago

There was a really good point in this podcast episode about the speed of LLMs. They are so slow that all of the progress messages and token streaming are necessary. But the core problem is that the technology is so darn slow.

https://podcasts.apple.com/us/podcast/this-episode-is-a-cogn...

As someone who both uses and builds this technology I think this is a core UX issue we’re going to be improving for a while. At times it really feels like a choose 2+ of: slow, bad, and expensive.

hu3• 3 months ago

About slowdowns... I have this theory that if they sneak some sleep(1) calls while processing medium to complex prompts they can serve more clients.

But I think "context switching" between 2 different prompts might be too expensive for GPUs to be worth it for LLM providers. Who knows.

vintagedave• 3 months ago

They won't even reset usage for me: https://news.ycombinator.com/item?id=47892445

And by crikey do I empathise with the poor support in this article. Nothing has soured me on Anthropic more than their attitude.

Great AI engineers. Questionable command line engineers (but highly successful.) Downright awful to their customers.

caycep2• 3 months ago

If all Claude does is automate mundane code, why not just make a "meta library" of said common mundane code snippets?

queuebert2• 3 months ago

Like Stack Overflow?

caycep2• 3 months ago

you still have to search stack overflow and sift, but I'm surprised someone doesn't just make a TLDR style or shortcuts-expanding product out of it that you can just pop in code for this use case or that. vs. the current product spending a few datacenter's worth of energy to give you the answer that's only correct x% of the time

twobitshifter2• 3 months ago

maybe make it so that when you start typing it completes the snippet?

zh_code• 3 months ago

I just cancelled my Max20 plan yesterday.

sfmike• 3 months ago

i ran prompts used up a ton of usage, and got no return just showed error.

Asked support hey i got nothing back i tried prompting several times used a ton of usage and it gave no response. I'd just like usage back. What I payed for I never got.

Just bot response we don't do refunds no exceptions. Even in the case they don't serve you what your plan should give you.

queuebert2• 3 months ago

Maybe this is an unpopular opinion, but I think choosing which companies to support during this period of pre-alignment is one way to vote which direction this all goes. I'm happy to accept a slightly worse coding agent if it means I don't get exterminated someday.

nikolay5• 3 months ago

I can agree. ChatGPT 5.5 made this a no-brainer choice. Anthropic are idiots removing Claude Code from the Pro plan. They need to ask Claude if what they did was a natural intelligence bug! Greed kills companies, too!

Capricorn24814• 3 months ago

I can agree. ChatGPT 5.5 made this a no-brainer choice

The new model that came out less than 24 hours ago made this obvious? This feels like when a new video game comes out and there's 1,000 steam reviews glazing it in the first hours of release. Don't you think you should use it for longer than a day before declaring it a game changer?

nikolay5• 3 months ago

Yes, even 5.4 was better.

nikolay5• 3 months ago

Plus, I don't like Anthropic allowing "chosen people" to access models - OpenAI would offer anything to anybody who's willing to pay for it, and that's a real business. Anthropic claims some moral superiority, but their model is used to kill civilians in Iran and to spy on all of us, so I don't buy their BS!

robotnikman• 3 months ago

removing Claude Code from the Pro plan

Wait really? I wanted to give it a try, but for $200 a month no way am I paying that for something I just want to experiment around with

nikolay5• 3 months ago

It was all over the Hacker News, but they do have a $100/mo Max plan. But so does OpenAI now, too. I guess companies assume people are willing to cough up hundreds of dollars per month, and we are. I need to review all my AI subscriptions, as it's over $1,000 per month now - $250 for Gemini Ultra (although it comes with tons and tons of other benefits), plus, it could be shared with my family - other companies live in a world where families don't exist, and people don't share a work laptop for both personal and corporate stuff. Add $200 for Claude Max and $100 for ChatGPT Pro. Add Cursor, add Zed, add Lovable, add a bunch of other things I'm experimenting with... It's getting expensive!

nikolay5• 3 months ago

Let me take this back - you are probably grandfathered into having Claude Code in your Pro plan though! Now I feel sorry I upgraded to Max as I could've kept Pro, just in case, but now I will just have to cancel it if I want to move to ChatGPT, or Gemini 4 when it's out, and if it's worth it. They need to consult with AI when making such stupid choices, honestly!

yalogin• 3 months ago

If someone wants to move off Claude what are the alternatives? More importantly can another system pick up from where Claude left off or is there some internal knowledge Claude keeps in their configuration that I need to extract before canceling?

janalsncm3• 3 months ago

Opencode is a great cli for driving a coding agents.

Like 3 weeks ago Qwen3-coder was the best coding LLM to run locally. I haven’t spent time since to figure out if anything is better.

You can also power Opencode with OpenRouter which lets you pay for any LLM à la carte.

y425• 3 months ago

I am trying Qwen3.5-9B-Claude-4.6 since a couple of days now locally coming from OMLX. Either via Hermes or Continue in VS Code. It's oka'ish, even performance-wise.

[1] https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-R...

areoform• 3 months ago

I've noticed that sometimes the same Claude model will make logical errors sometimes but not other times. Claude's performance is highly temporal. There's even a graph! https://marginlab.ai/trackers/claude-code/

I haven't seen anyone mention this publicly, but I've noticed that the same model will give wildly different results depending on the quantization. 4-bit is not the same as 8-bit and so on in compute requirements and output quality. https://newsletter.maartengrootendorst.com/p/a-visual-guide-...

I'm aware that frontier models don't work in the same way, but I've often wondered if there's a fidelity dial somewhere that's being used to change the amount of memory / resources each model takes during peak hours v. off hours. Does anyone know if that's the case?

8organicbits• 3 months ago

I'm not sure that graph shows a time-based correlation. The 60% line stays inside the 95% confidence interval. Is that not just a measurement of noise?

whalesalad2• 3 months ago

I've spent thousands of dollars on API tokens in the last few months. Out of my own pocket, as an indie contractor. I used the API specifically instead of Pro/Max/Plus/Silver/Gold/Platinum/Diamond to avoid all of the mess there regarding usage resets and potential hidden routing to worse models. It worked great for months, I got a ton of shit done, shipped a bunch of features. I really began to rely on the tech. I was not happy about the cost, but the value proposition was there.

Then within the last few months everything changed and went to shit. My trust was lost. Behavior became completely inconsistent.

During the height of Claude's mental retardation (now finally acknowledged by the creators) I had an incident where CC ran a query against an unpartitioned/massive BQ table that resulted in $5,000 in extra spend because it scanned a table which should have been daily partitioned 30 times. 27 TB per scan. I recall going over and over the setup and exhaustively refining confidence. After I realized this blunder, I referred to it in the same CC session, "jesus fucking christ, I flagged this issue earlier" -- it responded, "you did. you called out the string types and full table scans and I said "let's do it later." That was wrong. I should have prioritized it when you raised it". Now obviously this is MY fault. I fucked up here, because I am the operator, and the buck stops with me. But this incident really galvinized that the Claude I had come to vibe with so well over the last N months was entirely gone.

We all knew it was making making mistakes, becoming fully retarded. We all felt and flagged this. When Anthropic came out and said, "yeah ... you guys are using it wrong, its a skill issue" I knew this honeymoon was over. Then recently when they finally came out and ack'd more of the issues (while somehow still glossing over how bad they fucked up?) it was the final nail. I'm done spending $ on Anthropic ecosystem. I signed up for OpenAI pro $200/mo and will continue working on my own local inference in the meantime.

whalesalad2• 3 months ago

The thing that irks me the most is that I was paying full price. Literally spreading my cheeks wide open and saying, "here ya go Anthropic, all yours." and for actually close to a year it was great. Looking back I see I began using it in March of 2025. Thats roughly a year of integrating it into my day to day, pairing with it constantly, and as I said shipping really well engineered meaningful work.

They could have just kept doing this - literally printing money. Literally: do absolutely nothing, go on vacation, profit $$$. So why did so much change? I think that the issue is they were trying to optimize CC for the monthly plan folks, the ones who are likely losing the company money, but API users became collateral damage.

gizmodo59• 3 months ago

Codex is becoming such a good product. I have the 100$ pro lite. I have Claude still but 20$. I rarely use it. Let’s see if they give generous limits and more importantly a model that’s better than 5.5. The mythos fear mongering did not give me a good impression that they care about the average developer.

SwellJoe4• 3 months ago

I don't get it. I use Claude Code every day, what I would consider pretty heavy usage...at least as heavy as I can use it while actually paying attention to what it's producing and guiding it effectively into producing good software. I literally never run into usage limits on the $100 plan, even when the bugs related to caching, etc. were happening that led to inflated token usage.

WTF are y'all doing that chews tokens so fast? I mean, sure, I could spin up Gas Town and Beads and produce infinite busy work for the agents, but that won't make useful software, because the models don't want anything. They don't know what to build without pretty constant guidance. Left to their own devices, they do busy work. The folks who "set and forget" on AI development are producing a whole lot of code to do nothing that needed doing. And, a lot of those folks are proud of their useless million lines of code.

I'm not trying to burn as many tokens as a possible, I'm trying to build good software. If you're paying attention to what you're building, there's so many points where a human is in the loop that it's unusual to run up against token limits.

Anyway, I assume that at some point they have to make enough money to pay the bills. Everything has been subsidized by investors for quite some time, and while the cost per token is going down with efficiency gains in the models/harnesses and with newer compute hardware tuned for these workloads, I think we're all still enjoying subsidized compute at the moment. I don't think Anthropic is making much profit on their plans, especially with folks who somehow run right at the edge of their token limit 24/7. And, I would guess OpenAI is running an even lossier balance sheet (they've raised more money and their prices are lower).

I dunno. I hear a lot of complaining about Claude, but it's been pretty much fine for me throughout 4.5, 4.6 and 4.7. It got Good Enough at 4.5, and it's never been less than Good Enough since. And, when I've tried alternatives, they usually proved to be not quite Good Enough for some reason, sometimes non-technical reasons (I won't use OpenAI, anymore, because I don't trust OpenAI, and Gemini is just not as good at coding as Claude).

antics9• 3 months ago

From the comments here it seems like people are stress prompting their builds instead of planning and reviewing.

If one model seems to be a bit off during a session I just switch to another (Opencode) and plan and review from there.

dboreham3• 3 months ago

Same here. I've asked this question before. Haven't received an answer yet.

tacker2000• 3 months ago

I would say most people are complaining about the $20 plan, which is now actually indistinguishable from the free one. I tested it and ran into limits immediately. With Max, i can work properly again.

wood_spirit2• 3 months ago

Me and so many coworkers have been struggling with a big cognitive decline in Claude over the last two months. 4.5 was useful and 4.6 was great. I had my own little benchmark and 4.5 could just about keep track of a two way pointer merge loop whereas 4.6 managed a 3 way and the 1M context managed k-way. And this ability to track braids directly helped it understand real production code and make changes and be useful etc.

but then two months ago 4.6 started getting forgetful and making very dumb decisions and so on. Everyone started comparing notes and realising it wasn’t “just them”. And 4.7 isn’t much better and the last few weeks we keep having to battle the auto level of effort downgrade and so on. So much friction as you think “that was dumb” and have to go check the settings again and see there has been some silent downgrade.

We all miss the early days of 4.6, which just show you can have a good useful model. LLMs can be really powerful but in delivering it to the mass market Anthropic throttle and downgrade it to not useful.

My thinking is that soon deepseek reaches the more-than-good-enough 4.6+ level and everyone can get off the Claude pay-more-for-less trajectory. We don’t need much more than we’ve already had a glimpse of and now know is possible. We just need it in our control and provisioned not metered so we can depend upon it.

isoprophlex• 3 months ago

did you set your 4.7 to xhigh or max effort? anything else is basically not worth your time...

Flavius• 3 months ago

Why would I set 4.7 to xhigh or max when the original 4.6 was doing just fine with medium and high?

hungryhobbit2• 3 months ago

This was a real issue, and Anthropic recently awknowledged it:

https://www.anthropic.com/engineering/april-23-postmortem

Of course, it sucks when companies screw up ... but at the same time, they "paid everyone back" by removing limits for awhile, and (more importantly to me) they were transparent about the whole thing.

I have a hard time seeing any other major AI provider being this transparent, so while I'm annoyed at Claude ... I respect how they handled it.

wood_spirit2• 3 months ago

Yes that was one issue. It’s not the general degradation I have been talking about though, which is ongoing.

I recall reading similar tales of woe with other providers here on HN. I think the gradual dialling back of capability as capacity becomes strained as users pile on is part of the MO of all the big AI companies.

swdunlop• 3 months ago

Amusingly, when a coworker was looking for this postmortem, they found a different postmortem of three Claude issues that caused decay. This one was in the platform, not in Claude Code:

https://www.anthropic.com/engineering/a-postmortem-of-three-...

I think there's a certain amount of running with scissors going on here. I appreciate the transparency, but the time to remediation here seems pretty long compared to the rate of new features.

stan_kirdey• 3 months ago

I also cancelled my subscription.The $20 Pro plan has become completely unusable for any real work. What is especially frustrating is that Claude Chat and Claude Code now share the exact same usage limits — it makes zero sense from a product standpoint when the workflows are so different. Even the $200 Max plan got heavily nerfed. What used to easily last me a full week (or more) of solid daily use now burns out in just a few days. Combined with the quality drop and unpredictable token consumption, it simply stopped being worth it.

hybrid_study• 3 months ago

Sometimes it feels like Anthropic uses token processing as a throttling tool, to their advantage.

binyu2• 3 months ago

I feel like Anthropic is forcing their new model (Opus 4.7) to do much less guess work when making architectural choices, instead it prefers to defer back decisions to the user. This is likely done to mine sessions for Reinforcement-Learning signals which is then used to make their future models even smarter.

hungryhobbit2• 3 months ago

https://www.anthropic.com/engineering/april-23-postmortem

On March 4, we changed Claude Code's default reasoning effort from high to medium to reduce the very long latency—enough to make the UI appear frozen—some users were seeing in high mode. This was the wrong tradeoff. We reverted this change on April 7 after users told us they'd prefer to default to higher intelligence and opt into lower effort for simple tasks. This impacted Sonnet 4.6 and Opus 4.6.

On March 26, we shipped a change to clear Claude's older thinking from sessions that had been idle for over an hour, to reduce latency when users resumed those sessions. A bug caused this to keep happening every turn for the rest of the session instead of just once, which made Claude seem forgetful and repetitive. We fixed it on April 10. This affected Sonnet 4.6 and Opus 4.6.

On April 16, we added a system prompt instruction to reduce verbosity. In combination with other prompt changes, it hurt coding quality and was reverted on April 20. This impacted Sonnet 4.6, Opus 4.6, and Opus 4.7.

binyu2• 3 months ago

How does this address the point I moved specifically?

postepowanieadm• 3 months ago

Yeah, session limits are kinda show stoppers.

torstenvl• 3 months ago

I feel like almost everyone using AI for support systems is utterly failing at the same incredibly obvious place.

The first job of any support system—both in terms of importance and chronologically—is triage. This is not a research issue and it's not an interaction issue. It's at root a classification problem and should be trained and implemented as such.

There are three broad categories of interaction: cranks, grandmas, and wtfs.

Cranks are the people opening a support chat to tell you they have vital missing information about the Kennedy Assassintion or they want your help suing the government for their exposure to Agent Orange when they were stationed at Minot. "Unfortunately I can't help with that. We are a website that sells wholesale frozen lemonade. Good luck!"

Grandma questions are the people who can't navigate your website. (This isn't meant to be derogatory, just vivid; I have grandma questions often enough myself.) They need to be pointed toward some resource: a help page, a kb article, a settings page, whatever. These are good tasks for a human or LLM agent with a script or guideline and excellent knowledge/training on the support knowledge base.

WTFs are everything else. Every weird undocumented behavior, every emergent circumstance, every invalid state, etc. These are your best customers and they should be escalated to a real human, preferably a smart one, as soon as realistically possible. They're your best customers because (a) they are investing time into fixing something that actually went wrong; (b) they will walk you through it in greater detail than a bug report, live, and help you figure it out; and (c) they are invested, which means you have an opportunity for real loyalty and word-of-mouth gains.

What most AI systems (whether LLMs or scripts) do wrong is that they treat WTFs like they're grandmas. They're spending significant money on building these systems just to destroy the value they get from the most intelligent and passionate people in their customer base doing in-depth production QC/QA.

dboreham3• 3 months ago

This rings true. However I have used one AI automated support chat that didn't behave that way. I wish I could remember the vendor but I do remember being blown away when it said something like "that sounds like a real problem would you like me to open a support ticket for this?". Which it then did and subsequently a human addressed my issue.

r00t-• 3 months ago

Same, it's a mess.

estimator72923• 3 months ago

I just noticed today that it doesn't warn about approaching limits and just blows straight into billing extra tokens.

I'm pretty sure it used to warn when you got close to your 5hr limit, but no, it happily billed extra usage. Granted only about $10 today, but over the span of like 45 minutes. Not super pleased.

elevaet• 3 months ago

I've been very happy using Codex in the VScode extension. Very high quality coding and generous token limits. I've been running Claude in the CLI over the last couple of months to compare and overall I prefer Codex, but would be happy with either.

wg05• 3 months ago

I write detailed specs. Multifile with example code. In markdown.

Then hand over to Claude Sonnet.

With hard requirements listed, I found out that the generated code missed requirements, had duplicate code or even unnecessary code wrangling data (mapping objects into new objects of narrower types when won't be needed) along with tests that fake and work around to pass.

So turns out that I'm not writing code but I'm reading lots of code.

The fact that I know first hand prior to Gen AI is that writing code is way easier. It is reading the code, understanding it and making a mental model that's way more labour intensive.

Therefore I need more time and effort with Gen AI than I needed before because I need to read a lot of code, understand it and ensure it adheres to what mental model I have.

Hence Gen AI at this price point which Anthropic offers is a net negative for me because I am not vibe coding, I'm building real software that real humans depend upon and my users deserve better attention and focus from me hence I'll be cancelling my subscription shortly.

gwerbin• 3 months ago

Or just don't use AI to write code. Use it as a code reviewer assistant along with your usual test-lint development cycle. Use it to help evaluate 3rd party libraries faster. Use it to research new topics. Use it to help draft RFCs and design documents. Use it as a chat buddy when working on hard problems.

I think the AI companies all stink to high heaven and the whole thing being built on copyright infringement still makes me squirm. But the latest models are stupidly smart in some cases. It's starting to feel like I really do have a sci-fi AI assistant that I can just reach for whenever I need it, either to support hard thinking or to speed up or entirely avoid drudgery and toil.

You don't have to buy into the stupid vibecoding hype to get productivity value out of the technology.

You of course don't have to use it at all. And you don't owe your money to any particular company. Heck for non-code tasks the local-capable models are great. But you can't just look at vibecoding and dismiss the entire category of technology.

onlyrealcuzzo4• 3 months ago

Or just don't use AI to write code.

Anecdata, but I'm still finding CC to be absolutely outstanding at writing code.

It's regularly writing systems-level code that would take me months to write by hand in hours, with minimal babysitting, basically no "specs" - just giving it coherent sane direction: like to make sure it tests things in several different ways, for several different cases, including performance, comparing directly to similar implementations (and constantly triple-checking that it actually did what you asked after it said "done").

For $200/mo, I can still run 2-3 clients almost 24/7 pumping out features. I rarely clear my session. I haven't noticed quality declines.

Though, I will say, one random day - I'm not sure if it was dumb luck - or if I was in a test group, CC was literally doing 10x the amount of work / speed that it typically does. I guess strange things are bound to happen if you use it enough?

Related anecdata: IME, there has been a MASSIVE decline in the quality of claude.ai (the chatbot interface). It is so different recently. It feels like a wanna-be crapier version of ChatGPT, instead of what it used to be, which was something that tried to be factual and useful rather than conversational and addictive and sycophantic.

buredoranna• 3 months ago

the whole thing being built on copyright infringement

I am not a lawyer, but am generally familiar with two "is it fair use" tests.

1. Is it transformative?

I take a picture, I own the copyright. You can't sell it. But if you take a copy, and literally chop it to pieces, reforming it into a collage, you can sell that.

2. Does the alleged infringing work devalue the original?

If I have a conversation with ai about "The Lord of the Rings". Even if it reproduces good chunks of the original, it does not devalue the original... in fact, I would argue, it enhances it.

Have I failed to take into account additional arguments and/or scenarios? Probably.

But, in my opinion, AI passes these tests. AI output is transformative, and in general, does not devalue the original.

scuderiaseb2• 3 months ago

I must be doing something very different from everyone else, but I write what I want and how I want it and Opus 4.7 plans it for me, then I carefully review. Often times I need to validate and check things, sometimes I’ve revised the plan multiple times. Then implementation which I still use Opus for because I get a warning that my current model holds the cache so Sonnet shouldn’t implement. And honestly, I’m mostly within my Pro subscription, granted I also have ChatGPT Plus but I’ve mostly only used that as the chat/quick reference model. But yeah takes some time to read and understand everything, a lot of the time I make manual edits too.

wg05• 3 months ago

Then implementation which I still use Opus for because I get a warning that my current model holds the cache so Sonnet shouldn’t implement.

This is based on the premise that given detailed plan, the model will exactly produce the same thing because the model is deterministic in nature which is NOT the case. These models are NOT deterministic no matter how detailed plan you feed it in. If you doubt, give the model same plan twice and see something different churned out each time.

And honestly, I’m mostly within my Pro subscription, granted I also have ChatGPT Plus but I’ve mostly only used that as the chat/quick reference model. But yeah takes some time to read and understand everything, a lot of the time I make manual edits too.

I do not know how you can do it on a Pro plan with Claude Opus 4.7 which is 7.5x more in terms of limit consumption and any small to medium size codebase would easily consume your limits in just the planning phase up to 50% in a single prompt on a Pro plan (the $20/month one that they are planning to eliminate)

_puk5• 3 months ago

Rather than vibe, write your thoughts and get the model to challenge you / flesh it out is my preferred approach.

Get it to write a context capsule of everything we've discussed.

Chuck that in another model and chat around it, flesh out the missing context from the capsule. Do that a couple of times.

Now I have an artifact I can use to one-shot a hell of a lot of things.

This is amazing for 0-1.

For brown field development, add in a step to verify against the current code base, capture the gotchas and bounds, and again I've got something an agent has a damn good chance of one-shotting.

Aurornis8• 3 months ago

Writing detailed specs and then giving them to an AI is not the optimal way to work with AI.

That's vibecoding with an extra documentation step.

Also, Sonnet is not the model you'd want to use if you want to minimize cleanup. Use the best available model at the time if you want to attempt this, but even those won't vibecode everything perfectly for you. This is the reality of AI, but at least try to use the right model for the job.

Therefore I need more time and effort with Gen AI than I needed before

Stop trying to use it as all-or-nothing. You can still make the decisions, call the shots, write code where AI doesn't help and then use AI to speed up parts where it does help.

That's how most non-junior engineers settle into using AI.

Ignore all of the LinkedIn and social media hype about prompting apps into existence.

EDIT: Replaced a reference to Opus and GPT-5.5 with "best available model at the time" because it was drawing a lot of low-effort arguments

mandeepj• 3 months ago

Sure, Opus is next level than Sonnet, but it still doesn't free OP from these handcuffs - It is reading the code, understanding it and making a mental model that's way more labour intensive.

elAhmo• 3 months ago

Funny hearing you’re saying only GPT 5.5 (and Opus) can do this, having in mind that it came out last night.

munk-a3• 3 months ago

Stop trying to use it as all-or-nothing. You can still make the decisions, call the shots, write code where AI doesn't help and then use AI to speed up parts where it does help.

You're assuming that finding the places where AI needs help isn't already a larger task than just writing it yourself. AI can be helpful in development in very limited scenarios but the main thrust of the comment above yours is that it takes longer to read and understand code than to write it and AI tooling is currently focused on writing code.

We're optimizing the easy part at the expense of the difficult part - in many cases it simply isn't worth the trouble (cases where it is helpful, imo, exist when AI is helping with code comprehension but not new code production).

rafram2• 3 months ago

Opus or GPT-5.5 are the only ways to even attempt this.

It’s pretty funny to claim that a model released 22 hours ago is the bare minimum requirement for AI-assisted programming. Of course the newest models are best at writing code, but GPT-* and Claude have written pretty decent systems for six months or so, and they’ve been good at individual snippets/edits for years.

wg05• 3 months ago

Writing detailed specs and then giving them to an AI is not the optimal way to work with AI.

It is NOT the way to work with humans basically because most software engineers I worked with in my career were incredibly smart and were damn good at identifying edge cases and weird scenarios even when they were not told and the domain wasn't theirs to begin with. You didn't need to write lengthy several page long Jira tickets. Just a brief paragraph and that's it.

With AI, you need to spell everything out in detail. But that's NO guarantee either because these models are NOT deterministic in their output. Same prompt different output each time. That's why every chat box has that "Regenerate" button. So your output with even a correct and detailed prompt might not lead to correct output. You're just literally rolling a dice with a random number generator.

Lastly - no matter how smart and expensive the model is, the underlying working principles are the same as GPT-2. Same transformers with RL on top, same random seed, same list of probabilities of tokens and same temperature to select randomly one token to complete the output and feedback in again for the next token.

afro88• 3 months ago

Writing detailed specs and then giving them to an AI is not the optimal way to work with AI. That's vibecoding with an extra documentation step.

Read uncharitably, yeah. But you're making a big assumption that the writing of spec wasn't driven by the developer, checked by developer, adjusted by developer. Rewritten when incorrect, etc.

You can still make the decisions, call the shots

One way to do this is to do the thinking yourself, tell it what you want it to do specifically and... get it to write a spec. You get to read what it thinks it needs to do, and then adjust or rewrite parts manually before handing off to an agent to implement. It depends on task size of course - if small or simple enough, no spec necessary.

It's a common pattern to hand off to a good instruction following model - and a fast one if possible. Gemini 3 Flash is very good at following a decent spec for example. But Sonnet is also fine.

Stop trying to use it as all-or-nothing

Agree. Some things just aren't worth chasing at the moment. For example, in native mobile app development, it's still almost impossible to get accurate idiomatic UI that makes use of native components properly and adheres to HIG etc

ForOldHack2• 3 months ago

"Writing detailed specs and then giving them to an AI is not the optimal way to work with AI." Perfect. I loosely define things, and then correct it, and tell it to make the corrections, and it gets trained, but you have to constantly watch it. Its like a glorified auto-typer.

"Ignore all of the LinkedIn and social media hype about prompting apps into existence." Absolutely, its not hype, its pure marketing bullshitzen.

ost-ing• 3 months ago

That's vibecoding with an extra documentation step.

This sounds like an LLM talking.

Either you're a bot, or our human languages are being modified in realtime by the influence of these tools.

hintymad• 3 months ago

With hard requirements listed, I found out that the generated code missed requirements,

This is hardly a surprise, no? No matter how much training we run, we are still producing a generative model. And a generative model doesn't understand your requirements and cross them off. It predicts the next most likely token from a given prompt. If the most statistically plausible way to finish a function looks like a version that ignores your third requirement, the model will happily follow through. There's really no rules in your requirements doc. They are just the conditional events X in a glorified P(Y|X). I'd venture to guess that sometimes missing a requirement may increase the probability of the generated tokens, so the model will happily allow the miss. Actually, "allow" is too strong a word. The model does not allow shit. It just generates.

teucris• 3 months ago

But agents do keep task lists and check the tasks off as they go. Of course it’s not perfect either but it’s MUCH better than an LLM can offer on its own.

If you are seeing an agent missing tasks, work with it to write down the task list first and then hold it accountable to completing them all. A spec is not a plan.

dannersy• 3 months ago

Beautifully stated and I couldn't agree more. This is my experience.

rob• 3 months ago

I use the "Superpowers" plugin that creates an initial spec via brainstorming together, and then takes that spec and creates an implementation spec file based on your initial spec. It also has other agents make sure the spec doesn't drift between those two stages and does its own self-reviews. Almost every time, it finds and fixes a bunch of self-review issues before writing the final plan. Then I take that final plan and run it through the actual execution phase that does its own reviews after everything.

Just saying that I know a lot of people like to raw dog it and say plugins and skills and other things aren't necessary, but in my case I've had good success with this.

xpe2• 3 months ago

I very much value and appreciate the first four paragraphs! [3] This is my favorite kind of communication in a social setting like this: it reads more like anthropology and less like judgment or overgeneralization.

The last two paragraphs, however, show what happens when people start trying to use inductive reasoning -- and that part is really hard: ...

Therefore I need more time and effort with Gen AI than I needed before because I need to read a lot of code, understand it and ensure it adheres to what mental model I have.

I don't disagree that the above is reasonable to say. But it isn't all -- not even enough -- about what needs to be said. The rate of change is high, the amount of adaptation required is hard. This in a nutshell is why asking humans to adapt to AI is going to feel harder and harder. I'm not criticizing people for feeling this. But I am criticizing the one-sided-logic people often reach for.

We have a range of options in front of us:

    A. sharing our experience with others
    B. adapting
    C. voting with your feet (cancelling a subscription)
    D. building alternatives to compete
    E. organizing at various levels to push back

(A) might start by sounding like venting. Done well it progresses into clearer understanding and hopefully even community building towards action plans: [1]

Hence Gen AI at this price point which Anthropic offers is a net negative for me because I am not vibe coding, I'm building real software that real humans depend upon and my users deserve better attention and focus from me hence I'll be cancelling my subscription shortly.

The above quote is only valid unless some pretty strict (implausible) assumptions: (1) "GenAI" is a valid generalization for what is happening here; (2) Person cannot learn and adapt; (2) The technology won't get better.

[1]: I'm at heart more of a "let's improve the world" kind of person than "I want to build cool stuff" kind of person. This probably causes some disconnect in some interactions here. I think some people primarily have other motives.

Some people cancel their subscriptions and kind of assume "the market and public pushback will solve this". The market's reaction might be too slow or too slight to actually help much. Some people put blind faith into markets helping people on some particular time scales. This level of blind faith reminds me of Parable of the Drowning Man. In particular, markets often send pretty good signals that mean, more or less, "you need to save yourself, I'm just doing my thing." Markets are useful coordinating mechanisms in the aggregate when functioning well. One of the best ways to use them is to say "I don't have enough of a cushion or enough skills to survive what the market is coordinating" so I need a Plan B!

Some people go further and claim markets are moral by virtue of their principles; this becomes moral philosophy, and I think that kind of moral philosophy is usually moral confusion. Broadly speaking, in practice, morality is a complex human aspiration. We probably should not not abdicate our moral responsibilities and delegate them to markets any more than we would say "Don't worry, people who need significant vision correction (or other barrier to modern life)... evolution will 'take care' of you."

One subscription cancellation is a start (if you actually have better alternative and that alternative being better off for the world ... which is debatable given the current set of alternatives!)

Talking about it, i.e. here on HN might one place to start. But HN is also kind of a "where frustration turns into entertainment, not action" kind of place, unfortunately. Voting is cheap. Karma sometimes feels like a measure of conformance than quality thinking. I often feel like I am doing better when I write thoughtfully and still get downvotes -- maybe it means I got some people out of their comfort zone.

Here's what I try to do (but fail often): Do the root cause analysis, vent if you need to, and then think about what is needed to really fix it.

[2] https://en.wikipedia.org/wiki/Parable_of_the_drowning_man

[3]: The first four are:

    I write detailed specs. Multifile with example code. In markdown.

    Then hand over to Claude Sonnet.

    With hard requirements listed, I found out that the generated code missed requirements, had duplicate code or even unnecessary code wrangling data (mapping objects into new objects of narrower types when won't be needed) along with tests that fake and work around to pass.

    So turns out that I'm not writing code but I'm reading lots of code.

tengbretson• 3 months ago

or even unnecessary code wrangling data (mapping objects into new objects of narrower types when won't be needed)

Dude! The amount of ad-hoc, interface-specific DTOs that LLM coding agents define drives me up the wall. Just use the damn domain models!

meroes• 3 months ago

This is how I feel with AI math proofs. I’m not sure where they’re at now, but a year ago it took so much more time to check if an LLM proof was technically correct even if hard to understand, compared to a well structured human proof.

Maybe it was Timothy Gowers who commented on this.

Lots of human proofs have the unfortunate “creative leap” that isn’t fully explained but with some detectable subtlety. LLMs end up making large leaps too, but too often the subtle ways mathematicians think and communicate is lost, and so the proof becomes so much more laborious to check.

Like you don’t always see how a mathematician came up with some move or object to “try”, and to an LLM it appears random large creative leaps are the way to write proofs.

abustamam• 3 months ago

This may be a bit silly but I do what you do and then I tell Claude to review the code it wrote and compare it to the specs. It will often find issues and fix it. Then I review the reviewed code, and it's leagues better than pre reviewed code.

This may be worth trying out.

CamperBob2• 3 months ago

Then hand over to Claude Sonnet.

Well, there's your problem. Why aren't you using the best tool for the job?

eweise• 3 months ago

I give Claude small incremental tasks to do and it usually does them flawlessly. I know how to design the software and break into incremental tasks. Claude does the work. The productivity increase has been incredible. I think I'll be able to bootstrap a single person lifestyle business just using Claude.

throwaway77832• 3 months ago

I don't know. I don't write detailed specs, but make it very iterative, with two sessions. One for coding and one for reviews at various levels.

Just the coding window makes mistakes, duplicates code, does not follow the patterns. The reviewer catches most of this, and the coder fixes them all after rationalizing them.

Works pretty well for me. This model is somewhat institutionalized in my company as well.

I use CC Opus 4.7 or Codex GPT 5.4 High (more and more codex off late).

rsanek• 3 months ago

I'm confused. If you have detailed, specific expectations, why aren't using the best model available? Even if you were using Opus 4.7, I would inquire if you're using high/xhigh effort by default.

Feels crazy to me for people to use anything other than the best available.

xpe2• 3 months ago

I also have the same question. That said, for some problems, at least over the last week or so, I did sometimes get better results from lower-effort Opus or even Sonnet. Sometimes I get (admittedly this is by feels) a better experience from voice mode which uses Haiku. This is somewhat surprising in some ways but maybe not in others. Some possible explanations include: (a) bugs relating to Anthropic's recent post-mortem [1] or (b) a tendency for a more loquacious Claude to get off in the weeds rather than offering a concise answer which invite short back-and-forth conversations and iteration.

[1] https://www.anthropic.com/engineering/april-23-postmortem ... but also see the September 2025 one at https://www.anthropic.com/engineering/a-postmortem-of-three-...

lp0_on_fire• 3 months ago

Feels crazy to me for people to use anything other than the best available.

Not everyone has unlimited budgets to burn on tokens.

hirvi744• 3 months ago

That is why I still use the Chatbots and not the CLI/desktop tools. I am in 100% control. I mainly ask question surrounding syntax with languages I am not well experienced in, snippets/examples, and sometimes feedback on certain bits of logic.

I feel like I have easily multiplied my productivity because I do not really have to read more than a single chat response at a time, and I am still familiar with everything in my apps because I wrote everything.

I've been working on Window Manager + other nice-to-haves for macOS 26. I do not need a model to one-shot the program for me. However, I am thrilled to get near instantaneous answers to questions I would generally have to churn through various links from Google/StackOverflow for.

bmurphy1976• 3 months ago

I'm starting to think a lot of the problem people are having is just that they have unrealistic expectations.

I'm not having the same problem as you and I follow a very similar methodology. I'm producing code faster and at much higher quality with a significant reduction in strain on my wrists. I doubt I'm typing that much less, but what I am typing is prose which is much more compatible with a standard QWERTY keyboard.

I think part of it is that I'm not running forward as fast as I can and I keep scope constrained and focused. I'm using the AI as a tool to help me where it can, and using my brain and multiple decades of experience where it can't.

Maybe you're expecting too much and pushing it too hard/fast/prematurely?

I don't find the code that hard to read, but I'm also managing scope and working diligently on the plans to ensure it conforms to my goals and taste. A stream of small well defined and incremental changes is quite easy to evaluate. A stream of 10,000 line code dumps every day isn't.

I bet if you find that balance you will see value, but it might not be as fast as you want, just as fast as is viable which is likely still going to be faster than you doing it on your own.

dragandj5• 3 months ago

If the main problem is programming languages incompatibility with QWERTY, that problem has been solved many decades ago. The programmers can switch to Colemak, and save many trillions of dollars of AI expenses.

varispeed2• 3 months ago

You can quickly get something "working" until you realise it has a ton of subtle bugs that make it unusable in the long run.

You then spend months cleaning it up.

Could just have written it by hand from scratch in the same amount of time.

But the benefit is not having to type code.

GoToRO• 3 months ago

you are holding it wrong. For real this time.

linsomniac• 3 months ago

Then hand over to Claude Sonnet.

Have you tried Opus 4.6 with "/effort max" in Claude Code? That's pretty much all I use these days, and it is, honestly, doing a fantastic job. The code it's writing looks quite good to me. Doesn't seem to matter if it's greenfield or existing code.

If code is harder to read than to write, you're doing yourself a disservice by having the output stage not be top shelf.

dragandj5• 3 months ago

I find it works even better with "/effort ultra".

coldtea5• 3 months ago

I write detailed specs. Multifile with example code. In markdown. Then hand over to Claude Sonnet. With hard requirements listed, I found out that the generated code missed requirements, had duplicate code or even unnecessary code wrangling data (mapping objects into new objects of narrower types when won't be needed) along with tests that fake and work around to pass.

Stop doing that. Micromanage it instead. Don't give it the specs for the system, design the system yourself (can use it for help doing that), inform it of the general design, but then give it tasks, ONE BY ONE, to do for fleshing it out. Approve each one, ask for corrections if needed, go to the next.

Still faster than writing each of those parts yourself (a few minutes instead of multiple hours), but much more accurate.

dieortin2• 3 months ago

Might as well just write the code yourself at that point. And as a bonus, end up with a much better understanding of the codebase (and way better code)

arikrahman2• 3 months ago

I use open spec to negotiate requirements before the handoff, it's helped me a lot. You could also use GSD2 or Amazon's Kiro, or Spec Kit but I find they have too many stages and waste tokens.

baranul• 3 months ago

Now that there is Claw Code[1], seems like many of these cancellations are easier to do.

[1] https://github.com/ultraworkers/claw-code

jwpapi• 3 months ago

I have the same feeling.

Like there is no way in world that Gen AI is faster then an actual cracked coder shooting the exact bash/sql commands he needs to explore and writing a proper intent-communicating abstraction.

I’m thinking the difference is in order of magnitudes.

On top of that it adds context loss, risk of distraction, the extra work of reading after the job is done + you’ll have less of a mental model no matter how good you read, because active > passive.

Man it was really the weirdest thing that Claude Coded started hiding more and more changes. Thats what you need, staying closely on the loop.

moribunda• 3 months ago

And it leaves 25 TODO comments in code silently, reporting to you that everything is done.

docheinestages• 3 months ago

Me too.

lawrence12• 3 months ago

The timeline of the first few sentences doesn't add up. how can you subscribe 2 weeks ago when the problem started 3 weeks ago.

y425• 3 months ago

https://news.ycombinator.com/item?id=47894155

(I am just learning that "a couple of weeks" apparently means "2 weeks"...)

lawrence12• 3 months ago

The timeline doesn't make any sense. How can you subscribe a couple weeks ago and the problem start 3 weeks ago and yet things also went well for the first few weeks. was this written by GPT 5.5?

wg05• 3 months ago

The author is not a native English speaker it seems.

They might mean "few weeks ago" and the phrase "couple of weeks ago" might not be exactly as "Vor ein paar Wochen" in their mind rather could be as "few weeks ago."

Rest of the prose in the article seems to support the assumption.

The post is handwritten with no LLMs involved.

fortynights• 3 months ago

Seriously, I’ve been subscribed to Claude for 18 months now ($20/mo) during which time I’ve seen the hype around other models come and go in a matter of weekends. I’ve just come to accept that everyone is largely commodity and sometimes it’s worth taking a longer view (provided one can afford it).

mattas• 3 months ago

I've see a post like this every week for the last 2 years. Are these models actually getting worse? Or do folks start noticing the cracks as they use them more and more?

PeterStuer• 3 months ago

I'm on max x5. No limit problems, but I am definetly feeling the decline. Early stopping and being hellbent on taking shortcuts being the main culprits, closely followed by over optimistic (stale) caching (audit your hooks!).

All mostly mitigatable by rigorous audits and steering, but man, it should not have to be.

moralestapia• 3 months ago

The midwit curve of LLMs has OpenAI on both ends.

ForOldHack2• 3 months ago

I have token issues three times a day, and I just upgraded to pro... and now this... now I cancel. my work flow was co-pilot to Gemini to Claude Code... and the bottle neck was always CC. Always. I am done. It should be pretty easy to replace CC.

AI used to be, the punched card replicator... its all replaceable.

shevy-java• 3 months ago

Those AI using software developers begin to show signs of addiction:

From "yay, claude is awesome" to "damn, it sucks". This is like with withdrawal symptoms now.

My approach is much easier: I'll stay the oldschool way, avoid AI and come up with other solutions. I am definitely slower, but I reason that the quality FOR other humans will be better.

joozio• 3 months ago

Funny. I thought I was the only one. Then I found more people and now you wrote about that. Just this week I also wrote about Claude Opus 4.7 and how I came back to Codex after that: https://thoughts.jock.pl/p/opus-4-7-codex-comeback-2026

y425• 3 months ago

I like your blog and I can totally relate to this article - it's like something I wanted to write about for a couple of weeks now. :D

https://thoughts.jock.pl/p/adhd-ai-agent-personal-experience...

dostick• 3 months ago

The discussion about Claude always omit the important context - which language/platform you’re using it for. It is best trained for web languages and has most up to date knowledge for that. If you use it for Swift it is trained on whole landfill of code and that gives you strong bias towards pre-Swift 6 coding output. Imagine you would give Claude a requirements for a web app, and it implements it all in JQuery. That’s what happens with other platforms.

adamors• 3 months ago

It’s not ommited, OP clearly talks about editing Javascript.

exabrial• 3 months ago

It's bad, really bad.

The filesystem tool cannot edit xml files with <name></name> elements in it

burnJS• 3 months ago

My experience is Claude and others are good at writing methods and smaller because you can dictate what it should do in less tokens and easily read the code. This closes the feadback loop for me.

I occasionally ask AI to write lots of code such as a whole feature (>= medium shirt size) or sometimes even bigger components of said feature and I often just revert what it generated. It's not good for all the reasons mentioned.

Other times I accept its output as a rough draft and then tell it how to refactor its code from mid to senior level.

I'm sure it will get better but this is my trust level with it. It saves me time within these confines.

Edit: it is a valuable code reviewer for me, especially as a solo stealth startup.

ChicagoDave5• 3 months ago

I think there’s a clear split amongst GenAI developers.

One group is consistently trying to play whack-a-mole with different models/tools and prompt engineering and has shown a sine-wave of success.

The other group, seemingly made up of architects and Domain-Driven Design adherents has had a straight-line of high productivity and generating clean code, regardless of model and tooling.

I have consistently advised all GenAI developers to align with that second group, but it’s clear many developers insist on the whack-a-mole mentality.

I have even wrapped my advice in https://devarch.ai/ which has codified how I extract a high level of quality code and an ability to manage a complex application.

Anthropic has done some goofy things recently, but they cleaned it up because we all reported issues immediately. I think it’s in their best interests to keep developers happy.

My two cents.

camel_Snake• 3 months ago

FYI that prominent link to your sharpee repo on GitHub 404s

ChicagoDave5• 3 months ago

OMG (fixed) - I updated devarch to check all html links for accuracy. This came from a recent update to the website to simplify it and of course Claude completely hallucinated that URL.

You can NEVER stop being vigilant. This is why I still have no faith in things like OpenClaw. Letting an AI just run off unsupervised makes me sweat.

rglover• 3 months ago

Dead on. Any company not thinking about this like the 2nd group is setting themselves up for a bad time (and sadly, anecdotally, that seems to be an emerging majority).

ChicagoDave5• 3 months ago

Sadly, I agree that the majority are undisciplined.

joquarky2• 3 months ago

I kind of wonder if people with ADHD tend to fall into the latter group, as we are used to setting guardrails to keep us aligned to a goal.

ChicagoDave5• 3 months ago

ADHD may be a part of it but mentoring and some experience with TDD or strong unit testing is also a part.

estimator72923• 3 months ago

IME it seems that output quality is directly proportional to the amount of engineering effort you put in. If a bug happens and you just tell the model to fix it over and over with no critical thinking, you end up with an 800 line shell script meant to change the IP address on an interface (real example). If you stop and engage your brain to reason about bugs and explain the problem, the model can fix it in an acceptable manner.

If you want to get good results, you still have to be an engineer about it. The model multiplies the effort you put in. If your effort and input is near zero, you get near zero quality out. If you do the real work and relegate the model to coloring inside the lines, you get excellent results.

ChicagoDave5• 3 months ago

Even my guardrails can’t replace experience. You have to pay attention. This is exactly how some devs land in whack-a-mole loops.

sreekanth850• 3 months ago

Biggest issue i see is, models are not getting efficient. This is no where going to get commoditised. There will be a limit at which you can burn money at subsidised cost.

wslh• 3 months ago

Anthropic is astroscaling. We're essentially buying into a loop where speed and iteration take precedence over stability and support. If you view them as an experimental lab undergoing rapid atmospheric friction rather than a company, the "unreliability" is just the cost of being at the frontier. This is not an endorsement for Anthropic, just imagining their craziness on how you "can" grow in a fraction of time.

lukaslalinsky• 3 months ago

I feel like Opus 4.5 was the peak in Claude Code usefulness. It was smart, it was interactive, it was precise. In 4.6 and 4.7, it spends a long time thinking and I don't know what's happening, often hits a dead-end and just continues. For a while I was setting Opus 4.5 in Claude Code, but it got reset often. I just canceled my Max plan, don't know where to look for alternatives.

captainregex• 3 months ago

anyone remember the whole “delete uber” thing from 2017ish? good times

semiinfinitely• 3 months ago

absolute garbage support was the reason why I canceled. who would have thought that an AI company has only bots as support agents

duxup• 3 months ago

I’ve definitely encountered a drop in Claude quality.

Even a simple prompt focused on two files I told Claude to do a thing to file A and not change file B (we were using it as a reference).

Claude’s plan was to not touch file B.

First thing it did was alter file B. Astonishing simple task and total failure.

It was all of one prompt, simple task, it failed outright.

I also had it declare that some function did not have a default value and then explain what the fun does and how it defaults to a specific value….

Fundamentally absurd failures that have seriously impacted my level of trust with Claude.

kx_x• 3 months ago

After the fixes in Claude Code, Opus 4.6/4.7 have been performing well.

Before the fixes, they were complete trash and I was ready to cancel this month.

Now, I'm feeling like the AI wars are back -- GPT 5.5 and Opus 4.7 are both really good. I'm no longer feeling like we're using nerfed models (knock on wood)!

rurban• 3 months ago

That's bad for him, because he already had a cheap plan. Now he wont get it back that easy.

Pro is gone. OpenAI plans are more expensive. He can only buy a Kimi plan, which is at least better than Sonnet. But frontier for cheap is gone. Even copilot business plans are getting very expensive soon, also switching to API usage only.

josefritzishere• 3 months ago

AI has a lot of future potential but at every level... it's still not very good. And certainly not good enough to validate the expense, let alone what the actual cost would be were it profitable.

_pdp_• 3 months ago

Signup for all major providers (pro plan) and round-robin between all of them. This is the only way to protect against not having access to all of these heavily subsidised subscriptions. See what happened to Copilot.

brachkow• 3 months ago

As many others I had negative (not good as before) feeling about Claude Code lately

What I don't understand is these loud "voting with money" comments. What they are canceling is very subsidized plan to buy something that delivers a lot of value.

There are only two providers that can provide this level of models at very subsidized price - anthropic and openai. Both of them are bad in terms of reliability.

So I wonder what these people do after they "cancel" both of them? Do they see producing less result at same hourly rate as everyone else on the market as viable option?

gverrilla• 3 months ago

My main problem with claude code right now is observability. I've been experimenting a lot with vibe coding, but nowadays I can't even tell what it's doing. It's still delivering me value, but the trust on the company is going down and I've already started looking for alternatives.

kissgyorgy• 3 months ago

I cancelled in the minute my subscription stopped working in Pi. Not going back to the slopfest what Claude Code is.

vivin• 3 months ago

This is interesting to me, because Claude has been a net-positive for me. I haven't faced token issues or declining quality. I generally work with Claude as an assistant -- I may have it do planning and have it "one shot" a thing, but it's usually a personal tool or a utility that I want it to write.

For actual code that goes out to production, I generally figure out how I would solve the problem myself (but will use Claude to bounce ideas and approaches -- or as a search engine) and then have Claude do the boring bits.

Recently I had to migrate a rules-engine into an FSM-based engine. I already had my plan and approach. I had Claude do the boring bits while I implemented the engine myself. I find that Claude does best when you give it small, focused, incremental tasks.

airbreather• 3 months ago

I am sort of in the same place, it seems to have lost enough of the magic that I might be better trying to do more with running local LLMs on my 4090.

The thing is running local LLMs will give some kind of reliability and fixed expectations that saves a lot of time - yeah sure Claude might be fantastic one day, but what do I do when the same workload churns out shit the next and I am halfway thru updating and referencing a 500 document set?

Better the devil you know and all that.

spaceman_20202• 3 months ago

4.7 is the breaking point for me

It's almost unusable

chadleriv• 3 months ago

Off topic: I do feel like this model switching content feels very circa 2010 "I'm quitting Facebook"

AJRF• 3 months ago

We are in the 'we need to IPO so screw our customers' phase of the cycle

chaosprint• 3 months ago

I bought a Claude membership a few days ago. I asked him to fix a React issue—a very simple UI modification with almost no logic. He still failed to understand it. And after three attempts, the 5-hour limit was reached. This was a disaster. I had to immediately buy a CodeX membership and also tried Image2. I won't give Claude another chance.

jryio• 3 months ago

I find it strange that you've anthropomorphized Claude but not ChatGPT seemingly based on one having a human name and the other not

0xchamin• 3 months ago

One of the biggest problem with Claude is, it tries to do things that I don't even ask. I really like to have full control over what I do. I feel sometimes, Claude has the urgency to keep going with what it is hardcore programmed for instead waiting for my feedback. Looks like, Claude consider everything to be oneshot. I maybe wrong, this is my personal experience

olcay_• 3 months ago

Claude Code has something about picking sensible choices instead of asking questions in the system prompt, that's probably the problem.

zulban2• 3 months ago

Curious. Not my experience whatsoever.

I tried Claude recently and it was able to one-shot fixes on 9/9 of the bugs I gave it on my large and older Unity C# project. Only 2/9 needed minor tweaks for personal style (functionally the same).

Maybe it helps that I separately have a CLI with very extensive unit tests. Or that I just signed up. Or that I use Claude late in the evenings (off hours). I also give it very targeted instructions and if it's taking longer than a couple minutes - I abort and try a different or more precise prompt. Maybe the backend recognizes that I use it sparingly and I get better service.

The author describes what sounds like very large tasks that I'd never hand off to an AI to run wild in 2026.

Anyway I thought I'd give a different perspective than this thread.

dannypostma• 3 months ago

When I saw the German screenshot it all made sense to me.

aucisson_masque• 3 months ago

First ever time I used ai to code was a week ago, went with the Claude pro because I didn't want to commit.

The 20$ plan has incredible value but also, the limit are just way too tight.

I'm glad Claude made me discover the strength of ai, but now it's time to poke around and see what is more customer friendly. I found deepseek V4 to be extremely cheap and also just as good.

Plus I get the benefit to use it in vs code instead of using Claude proprietary app.

I think that when people goes over the hype and social pressure, anthropic will lose quite a lot of customer.

brunooliv• 3 months ago

I still haven’t seen any other models be as complete as Claude inside Claude Code. I bet Anthropic knows this and they turn the knobs and see people’s reactions… I have been planning with Qwen3.6 Max inside opencode, absolutely game changer. Opus can then follow the plan quite detailed and like this I can make progress on my toy apps on Pro plan at 20/mo.

For work, unlimited usage via Bedrock.

Yes I’d like to get more usage out of my personal sub, but at 20/mo no complains

bryan0• 3 months ago

I see a lot of people struggling to work with agents. This post has a good example:

“you can’t be serious — is this how you fix things? just WORKAROUNDS????”

If this is how you’re interacting with your agents I think you’re in for a world of disappointment. An important part of working with agents is providing specific feedback. And beyond that making sure this feedback actually available to them in their context when relevant.

I will ask them why they made a decision and review alternatives with them. These learnings will aid both you and the agent in the future.

aulin• 3 months ago

After you see it skip reasoning so many times and saying "actually the simplest fix is" the laziest thing ever you get kind of tired of babysitting it.

philipwhiuk• 3 months ago

Like babysitting an intern.

causal• 3 months ago

Even their explanations are often confabulations. Best case they point to something wrong in your prompt or agents files, but usually it’s just noise.

arikrahman2• 3 months ago

I use Aider nowadays, and will probably cancel my Github multi AI bundle subscription due to the new training policy. I find using Aider with the new open models and using Open Spec to negotiate requirements before the handoff, has helped me a lot.

johanneskanybal• 3 months ago

It's not magic but for me definitly claude is the way to go. Not expecting magic it's just another level of non-slop than the rest I've tried.

tamimio• 3 months ago

Very similar experience, although I didn’t use claude for anything in production, but I did try some tests with some few topics and questions on things that I know, and while initially it works very well, but as soon as you dive deeper you get all sort of extra none sense that was never asked to add/do nor it’s useful, just workarounds after workarounds after duct tape solutions, several times I would say “no, why are you introducing xyz, that will cause this and that” to get similar answer of “thanks for pushing back, you are right bla bla”.

We probably hit peak generative AI last year, now they probably use AI to improve the AI so it’s kinda garbage in garbage out, or maybe anthropic is deprioritizing users while favoring enterprise or even government where it provides better quality for higher contracts.

r0fl• 3 months ago

I hope codex doesn’t decline the same way

I’m blown away by how good it is lately

gexla• 3 months ago

We can't do it. We standardized. They got us.

Animats• 3 months ago

Support? You expected support? Live support?

Most of this is about the billing system, which is apparently broken.

smashah• 3 months ago

Did the same with Google Ai Ultra. They rug pulled the subscribers. They changed the deal, we cancel. Simple.

taffydavid• 3 months ago

I know this thread is likely full of similar anecdotes, but I also want to share.

My experience very suddenly and very clearly degraded over the last few days.

Today I was trying to build a simple chess game. Previous one shots were HTML, this gave me a jsx file. I asked it to put it HTML and it absolutely devoured my credits doing so, I had to abort and do it manually. The resulting app didn't work, and it had decided that multiplayer could work by storing the game state only on local storage without the clients communicating at all

datavirtue3• 3 months ago

I have enterprise plans for all AI services except Google. GitHub Copilot in VS Code is the best I have used so far. I hear a lot of complaints from people who are holding it wrong. In a single day I can have a beautiful greenfield app deployed. One dev. One day. Something that would have taken weeks with two teams bumping into each other. It's fully documented. Beautiful code. I read the reasoning prompts as it flows by to get an idea of what is going on. I work in phases and review the code and working product quickly after that. Minimal issues.

I'm an executive, the devs complaining are getting retrained or put on the chopping block.

My rockstars are now random contractor devs from Vietnam. The aloof FTE grey beards saying "I don't know, it doesn't work very good on X." Are getting a talking to or being sidelined/canned. So far most of my grey beards are adapting pretty well.

I'm not waiting on people to write code any more. No way in hell.

jp0001• 3 months ago

Max x20 user here. As long as Opus 4.6 is available and they fix Opus 4.7, I'll stay with Anthropic. Tho, I'd imagine in 5 years we'll have Opus 4.6 equivalent performance available in an at home consumer model.

kashunstva• 3 months ago

I’m sympathetic to the author’s complaints about Anthropic’s support, though I would go further. It doesn’t exist.

For reasons that continue to elude me, almost exactly one year ago, Anthropic cancelled my Claude Pro plan. To appeal, you must fill out a Google docs form. And wait. In my case, I’ve waited for about one year. Once I managed to email with a human but they quickly plugged that hole with a chatbot that sends you back to their never-to-be-reviewed form. No route to escalate.

A year gives one a long time to think about things. Maybe it was because I was on a VPN temporarily. Otherwise, no clue. I’m a hobbyist embedded developer. That’s it.

So no, Anthropic support isn’t just poor; it’s nonexistent.

erikbye• 3 months ago

I'm building a C++ game engine from scratch with CC. Renderer is Vulkan, no wrappers. Around 30k LoC now, quite a ways to go yet, but CC has been doing fine overall. Of course "he" runs in circles sometimes, but I always manage to nudge him back on track.

Fabulu• 3 months ago

It's a client issue. It's a mystery to me why they don't fix it.

fractalf• 3 months ago

Hehe me too. Yesterday. Enough is enough. Using KLM5.1 and soon deepseek

I cancelled Claude: Token issues, declining quality, and poor support

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