HN user
If my aunt had balls, she'd be my uncle
Similarity to tmux is the point
I've been dailying this (inside tmux!) for multi-agent orchestration and for state detection for agentic fleet orchestration, it's excellent. Highly recommend!
Without AI your 10 years of experience is of lower utility than an AI wielding junior with 2 years of experience
Don't blame the job market, take some responsibility over your atrophying skillset
GLM cannot use vision like Opus can. This is not a useful comparison.
employment is slavery lol
Someone who would compare React to Kubernetes instead of React (Facebook) and Vue.js (Google) does not have enough domain knowledge to provide an informed opinion on this matter
Kubernetes is the industry standard cluster orchestrator for a reason - it's fantastic
ITT hacker news rebuilds a blockchain from scratch
With LLMs now being responsible for the physical typing of code and mundane plumbing tasks, this is a wise direction to go into
Our human ability is not defined by our _absolute_ output, but, by the quality of the _delta_ applied to an engineering artefact
Great engineers obsess over every keystroke
With LLMs, a much smaller number of keystrokes can create a much larger and more positively impactful delta
Every delta to the codebase can tell us some informational property about the behaviour of the system and storing that information WILL prove to be useful in the future
This is what you get when you sell a lifetime product
Tailwind UI is a phenomenal product, but, there's a simple mathematical reason you cannot sell code like in this way to create a sustainable business
skill issue
same way a lesser engineer might say they cannot do X or Y
deepfake edits are a feature, not a bug
it's just jealously.
hate only comes from below!
nice, another stupid license for my ai dataset scrapers to ignore, thanks!
Decentralised messaging providers
Can't enforce everyone to scan
What are you going to do? Arrest everyone?
Incorrect
... providers to search all private chats, messages, and emails automatically for suspicious content [1]
Even if that were the case, the answer is the Framework phone
there's no problem with it being vibe-coded
The point is that the site, contacting your local MEP, and all the discussion in this thread, is pointless to affect some kind of durable societal change
Pointing out that it's vibe-coded just emphasises that all of the above actions are just low-effort cope
HN applauds this vibe-coded “privacy” site yet condemns decentralized messaging.
States control what’s centralized; incentives ensure they keep doing so.
Protesting it is like arguing with a thermostat—it can’t hear you, and it’s built to tighten control.
As technologists, we have a lot more power than we realise.
(Yes, I’m speaking to the blob, but the Venn overlap of anti-crypto and pro-this seems big.)
we also introduced an additional layer of evaluation by testing an adversarially fine-tuned version of gpt-oss-120b
What could go wrong?
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can anyone comment on what their experience of using mise is vs. other tools a a la nix home-manager/flakes?
I see this "one tool to rule them all" and instantly my senses go off that this is too good to be true to work in all the long-tail scenarios.
There always seems to be some strange edge-cases with tools of this nature.
Why do non-users of LLM's like to despise/belittle them so much?
Just don't use them, and, outcompete those who do. Or, use them and outcompete those who don't.
Belittling/lamenting on any thread about them is not helpful and akin to spam.
Even an LLM could tell you that that's an unknowable thing, perhaps you should rely on them more.
If the AI actually outperforms humans in the full context of the work, then no, we won't. It will be so much cheaper and faster that businesses won't have to argue at all. Those that adopt them will massively outcompetes those that don't.
This. The dev's outcompeting by using AI today are too busy shipping, rather than wasting time writing blog posts about what ultimately, is a skill-issue.
“It takes me at least the same amount of time to review code not written by me than it would take me to write the code myself, if not more.”
There’s your issue, the skill of programming has changed.
Typing gets fast; so does review once robust tests already prove X, Y, Z correctness properties.
With the invariants green, you get faster at grokking the diff, feed style nits back into the system prompt, and keep tuning the infinite tap to your taste.
I echo the sentiment that you MUST use a debugger when working with ruby/rails. When using a debugger, magic becomes a call stack that is transparently visible. Once proficient and familiar with the conventions, reading it becomes a lot easier.
For Rails's productivity, there's many reasons. One is the 'Active Stack' which acts as a 'standard library' of sorts for the framework.
It provides extremely seamless tooling all the way from the most frontend of concerns (ActiveView - HTML/JS) to the backend (ActiveRecord - SQL ORM layer) and anything in between (ActiveController - HTTP Requests, ActiveMailer - Emails etc.). These tools are simple, robust and cohesive.
These primitives are built on by the community to provide powerful tooling (Devise, OmniAuth, amongst others) that allows one to implement the standard plumbing most SaaS/CRUD apps need in a few minutes - billing, auth, emails so you can get to writing business logic in a few minutes and have the boring stuff solved quickly.
Implementing just these basics in JS can take many hours and have you scratching your head wondering "Why are there 20 different ways to implement X? Why is there no tried and true way for something that are surely been done thousands of times? Why hasn't someone abstracted these details all away yet? Why do I have to npm install for this basic functionality? Wait, why did my build tooling just break?"
Agreed, it still absolutely astounds me the number of developers out there that do not use a debugger as an essential part of their toolkit.
I've found that OpenAI models write fantastic Rails code, having a deep understanding of Rails codebase conventions. Anthropic's models do seem to have a very hard time writing Ruby in general.
Does anyone else find that ELO skill built on screens does not carry over to over-the-board chess as much? It seems curious how physicality seems to materially affect a game which is meant to be primarily mental.
The productivity of Rails for B2B 'CRUD' software is unmatched. Surprised to not see more newer startups make use of it!
Great idea! What's the tech stack?
Why not just ask the AI to write Terraform to retrieve the API key? It seems like the point is we should make the world infinitely more friendly to AI agents than humans, because agents are emotionless, fast, and efficient. Humans are slow, ego-driven and just slow the agents down.