Lines of code got a better publicist

https://curlewis.co.nz/posts/lines-of-code-got-a-better-publicist/

by RyeCombinator • 1 month ago

431 298 1 month ago

curlewis.co.nz

isabella12345• 1 month ago

How do you get to discuss without going to the article directly

mkl2• 1 month ago

Click the "n comments" link, like you must have done to post this comment?

lelanthran• 1 month ago

Not enough people read The Goal.

Ugh. Just imagine the following on a normal curve:

Pre-AI: The goal is to make more money.

With-AI: The goal is to ship more code.

Post-AI: The goal is to make more money.

Can't wait to see how we get there...

voidUpdate• 1 month ago

"Augment surveyed 219 engineering leaders and asked them to define “AI-native engineering” . They got 219 different answers."

I mean, if you give 219 people a free text box and ask them to explain anything, you're extremely unlikely to get the exact same answer twice...

getnormality3• 1 month ago

This weird trend reached an apex in a Feb 2026 OpenAI blog post [1], recently on the front page [2], which describes the process for building... something... written 100% by agents.

There is no description of what the thing is, no indication of what value it provides its users. The closest it gets is "the product has been used by hundreds of users internally, including daily internal power users".

But the fact that the thing has a million lines of code is repeated twice in the first few hundred words.

[1] https://openai.com/index/harness-engineering/

[2] https://news.ycombinator.com/item?id=48416264

JCTheDenthog2• 1 month ago

The entire Linux kernel is about 40 million LoC, and only something like 16 million LoC after you remove drivers. I have a hard time imagining whatever OpenAI was talking about there having anywhere close to 6% as much utility as the Linux kernel, despite having 6% as many lines of code. And I have a hard time imagining it's anywhere close to maintainable, regardless of how powerful their LLMs might be.

esperent2• 1 month ago

To be fair, few things of any number of LOC have as much utility as the Linux kernel, and it's also a particularly dense example of code. There's plenty of other examples that have higher LOC / utility ratio without being vibe coded. For example, Google's monorepo famously has 2 billion LOC, which is a statistic I've heard long before LLM coding took over.

dist-epoch2• 1 month ago

Chrome has 50 mil LoC

https://openhub.net/p/chrome/analyses/latest/languages_summa...

strulovich• 1 month ago

The Linux kernel is not in any way at top of big projects. A kernel, as the name suggests, deals with specific issues and tries to remain small.

The world’s biggest software is usually built over endless adapters of different data and a need to reconcile endless edge cases with laws, regulations and real world complexities.

m463• 1 month ago

When I was young, I remember a (joke) program from a book or magazine, called something like report writer or something. It was written in basic and you typed it in.

You would run it and it would say:

how many pages? _

You would type in a number, and it would generate that many pages of a complex-sounding report.

something like "the subsystem design interface is ..." blah blah

similar?

DrewADesign4• 1 month ago

"the product has been used by hundreds of users internally, including daily internal power users".

My guess is it’s an email filter.

million lines of code
written 100% by agents

Yeah, probably an email filter. Or maybe a JS menu for a departmental wiki that basically recreates jquery using MS JScript and transpiles it into JS 5.

getnormality3• 1 month ago

Your hilariously specific hypotheses remind me of how little I know about technology.

pyrale• 1 month ago

My guess is it’s an email filter.

It may also be an email generator.

The email filter team is trying to match the pace of innovation of the email generation team. At stakes is the ability for the employees to process the billions of mission-critical generated emails each of them receives each day.

prodigycorp3• 1 month ago

The reality distortion field is strong around anthropic. Anthropic posts tons of equally bullshit blog posts, written entirely by AI, saying absolutely nothing, to the front page and they consistently average many hundreds of upvotes.

malfist2• 1 month ago

I have to wonder if HN is astroturfed. Anthropic and OpenAI can post about a new model and it gets over to HN instantly and is full of glowing reviews of supposedly real people who supposedly have had prior access to it who supposedly think it's the best model yet.

benj111• 1 month ago

Oh god why did you make me read that.

We intentionally chose this constraint so we would build what was necessary to increase engineering velocity by orders of magnitude

What kind of wanky bs is "engineering velocity". Maybe the post was written by AI?

habinero2• 1 month ago

It's a real term. It's a Agile metric for measuring how much a team is shipping over time.

Whether or not the whole concept is wanky bs depends on who you ask lol. It's useful if you measure it over time, not so much otherwise.

monkpit• 1 month ago

Sorry, was it not this?

https://github.com/openai/symphony

nhinck3• 1 month ago

That does not appear to have a million lines of code

pramodbiligiri• 1 month ago

Yeah it was very disappointing that so few details were provided. One of the reasons I think it's going to be an open source project or effort that is going to show, sooner or later, how effective these things actually are.

In their podcast interview, they mention that it's an Electron app that users download, and so they periodically create a new build. See section "Autonomous Merging Flow" here: https://www.latent.space/p/harness-eng

sunaurus• 1 month ago

I'm constantly thinking about that Microsoft guy who posted something like "we want 1 million LoC per engineer per month", which basically read as satire to most engineers I talked to, except apparently it was not satire at all, and indeed seemed to reflect the position of many CEOs etc when it comes to LLM code generation.

I do think that over the past few months, it feels like the hype around producing unmaintainable amounts of LoC has started dying down. More pragmatic and realistic takes are seemingly shared more openly, and are maybe even getting through to top leadership at some tech companies. Maybe not all is lost yet.

tikkabhuna• 1 month ago

The word “slop” was a good choice to talk about the mass of code generated by AI. I think it resonates with non-tech people and it conveys disgust. It’s clear that we should avoid slop.

“Technical debt” never hooked management in the same way and we have found it hard to convince them that it needs to be addressed. Debt in general is something that can be a problem, but doesn’t need to be avoided or addressed until it is a problem so the can is kicked down the road.

VBprogrammer• 1 month ago

Technical debt is a indefinable quantity which makes it very prone to be abused to mean "I wish I could rewrite this in [insert some fashionable language, framework or coding style]".

AI slop is an easier concept to quantify. It's basically the code for which insufficient people in the organisation have a meaningful understanding of how it works or what it does.

serial_dev• 1 month ago

To be fair, they are also different things, though there is certainly overlap...

To me, tech debt, captures the idea that we cut corners now to move faster, with the understanding that it will need to be "re-paid" and cleaned up later, otherwise we take on too much tech debt, and everyone knows too much debt is bad...

AI slop code means people feed their tasks to a model, trust it to drive the changes, they might do some cosmetic clean ups, then generate a 3 pager PR description they didn't even read themselves, then toss it over to the code reviewer, let that chump figure out what the hell I was doing while I ship 3-4 more PRs...

jimbokun14• 1 month ago

Just fix technical debt over time as you work on other things and budget for it as you give estimates.

This approach has always worked for me. Non technical management will never understand technical debt and really shouldn’t need to.

jkrems• 1 month ago

I'm constantly thinking about that Microsoft guy who posted something like "we want 1 million LoC per engineer per month", which basically read as satire to most engineers I talked to

Did those engineers not actually read the complete tweet? Because it wasn't about "engineers should write 1M LOC per month of product code" it was "we want to scale automated porting of code to safe languages so that 1 engineer managing 1M LOC of automated conversion can work". Which doesn't seem like satire at all..? It just means "develop mostly reliable AI-driven refactoring tools with good guard rails". Which seems quite sensible, actually?

SlinkyOnStairs2• 1 month ago

Minor correction: LinkedIn, not twitter. https://www.linkedin.com/posts/galenh_principal-software-eng...

Because it wasn't about "engineers should write 1M LOC per month of product code" it was "we want to scale automated porting of code to safe languages so that 1 engineer managing 1M LOC of automated conversion can work"

These are one and the same. Whether it's ported code or not doesn't change that. The framing device also doesn't matter, because it's the exact "Oh it's our goal" shtick that executives use in the former's case.

"It's just a measure" doesn't cut it in a world where every single AI measure immediately gets turned into a target by executives greedy for efficiencies that don't exist.

EDIT:

Right, I forgot. This is HN where everyone is a galaxybrain and "Port a million lines of code per month" is a totally reasonable goal for a single individual.

raincole• 1 month ago

"we want to scale automated porting of code to safe languages so that 1 engineer managing 1M LOC of automated conversion can work". Which doesn't seem like satire at all..?

Because many programmers don't believe that'd work. See the reaction to Bun's porting to rust. (I bet Bun will work and prove those programmers wrong, but that's another story.)

psychoslave• 1 month ago

If everything in the initial code is 300% covered with excellently documented tests that should be minimally changed during transition (if transition don’t reveal any corner case tests were missing, maybe the transition is not such a bright move after all), that seems a possible thing to consider.

Otherwise it really sounds like a recipe for unnecessary huge risk with dubious expected positive outcome.

Not saying don’t have fun, but on the other side maybe not with the core product of you cash cow already?

saghm2• 1 month ago

Because it wasn't about "engineers should write 1M LOC per month of product code" it was "we want to scale automated porting of code to safe languages so that 1 engineer managing 1M LOC of automated conversion can work".

Making a grand claim of a goal and not really having an explanation on how to achieve it isn't really much better. I could say "we want to scale food production so that one farmer could manage a million acres of corn a month", but that wouldn't really be sensible. A line of code is less work than an acre of corn of course, but I don't think it's at all apparent what upper bound for how much code is actually plausible for a single engineer to generate in a month and have any degree of confidence in. Given the absurd levels of hype around AI from non-engineering management in the past couple of years, it's not clear why the benefit of the doubt is earned here when there legitimate are managers and executives claiming pretty much exactly what you're claiming this guy wasn't.

bluGill3• 1 month ago

I don't care - porting the current architecture - with all the known I wish I had done this differently's - doesn't gain much. See some developers I've worked with who love Rust for "safety", even though they just put everything in unsafe at the first sign of trouble instead of thinking about how this should work safely.

Porting to a new language is easy, but does nothing useful. What we need is to fix the mistakes of the past so we can get to the future. We need to make acceptable performance.

fridder2• 1 month ago

I think the reliability struggles of Github may have helped with this

saghm2• 1 month ago

I can't help but wonder if the causation is backwards here and the millions of lines of slop had more to do with the Github struggles than the reverse

embedding-shape2• 1 month ago

which basically read as satire to most engineers I talked to

Seemingly engineers get this wrong too. I'm reminded of when Cursor bragged about how many lines of code a group of agents could produce, with the underwhelming results of a barely working browser, when the same could be built with much less code.

But they highlighted the amount of code as they were proud over how much slop their constellation of agents had shit out, and these were supposedly engineers, really strange to see.

bee_rider• 1 month ago

“Less is better” is sort of… the position of the engineer who enjoys the craft of programming, right? I don’t think this is universally believed.

And anyway, I’m pretty sure what people really mean by this “less is better” mantra is: the lowest amount of code that still accomplishes the goal and is still readable is preferred. Linux apparently has 40M lines of code, and I bet most of it is better than mine. Some things just take lots of code.

Which seems to leave room for these agent salesmen to pitch SLoC as a plus. We just have to believe those lines are all good ones. I that case, it would be impressive. I don’t believe it, but they are probably pitching to people who do.

esafak2• 1 month ago

All else being equal, and assuming you are building the right thing, being able to deliver more correct lines of code is a good thing. The question is how to do it reliably, given that a human cannot possibly read all of it. The answer seems to me to involve spot checks with proofs of correctness and statistical quality control, the latter being things that can be automated. One issue I see is that the models are constantly changing and are therefore not well understood statistically.

JCTheDenthog2• 1 month ago

All else being equal, and assuming you are building the right thing, being able to deliver more correct lines of code is a good thing.

Why? If you can deliver the same thing in fewer correct lines of code wouldn't that be preferable? At a bare minimum if you're still insisting on using AI to slop out your project, having it do things in fewer lines of code means you can fit more into your LLM's context window.

jimbokun14• 1 month ago

If you are generating that many lines of code it’s also almost impossible to tell if you’re building the right thing. You need to deploy each functional change and measure if it’s giving you the expected outcome, before moving onto the next thing.

dist-epoch2• 1 month ago

It's not unmaintainable if you have 1000 agents maintain it.

lionkor• 1 month ago

It is unmaintainable even if you spend 100k per month on tokens to have LLMs pretend they are maintaining it, if they slow down and make little ACTUAL progress. Sadly real progress is impossible to measure, if all you have is an overexcited """engineer""", a credit card, and so much cash spent you could hire all the best engineers you know and still have money for a porsche.

jimbokun14• 1 month ago

…and then the CEO sees the token bill…

smoe• 1 month ago

I do think that over the past few months, it feels like the hype around producing unmaintainable amounts of LoC has started dying down.

I wonder if a small part of this is more and more business and product people actually trying to incorporate AI into their daily workflows. I have seen this in both small companies I work for. People were very excited about getting Claude Cowork a couple of months ago, and while they use it daily, I would say they are rather underwhelmed compared to the magic they were expecting. Complaints include the output being mediocre and verbose, it getting the most basic things wrong, hitting token limits all the time, and people going back to doing things themselves because it is faster.

Sure, there is some degree of holding it wrong in the beginning, but people are realizing that maybe, just maybe, there is still somewhat of a gap between what AI CEOs, LinkedIn grifters, and YouTube AI supplement peddlers claim and reality.

lloyd-christmas• 1 month ago

I suspect this is it. I'm 40, and the only tech person in my social circle. Many of my friends were all excited about using it for things like basic webdev and home networking. One shotting that type of stuff is very viable even if you don't know anything about the topic. Now that they are trying to use it for something they actually know about, suddenly it's unusable. It's a modification of Gell-Mann Amnesia.

satnhak• 1 month ago

I once worked in a company where there was an 80% code coverage requirement. Some enterprising contractor had a script that generated a single file with its own covering test suite the size of which could be tuned to achieve 80% over the whole codebase. Mostly the code was untested.

atomicnumber3• 1 month ago

And thanks to AI, we could generate extremely convincing reams of code whose only purpose is to be fake unit tested. Amazing. I sincerely hope I never need to use this nuclear weapon.

tyre3• 1 month ago

I had an MoM at Stripe who pushed back on perf designations based on number of PRs.

I wish I were joking.

(The had never been an engineer.)

QuercusMax3• 1 month ago

Trying to parse your sentence, which is ambiguous...

You're saying that the manager-of-managers would argue that the number of PRs should affect perf ratings? Or the MoM would push back against the line managers who were giving ratings based on # of PRs?

Sesse__• 1 month ago

It's a signal. It's not a strong signal, and you certainly should not base your entire perf on it, but if the number is unusually high or low, it's a signal that could warrant further investigation.

(I once worked with an engineer that had two PRs, both fairly small bug fixes, in a given calendar year, and when I looked more carefully, they did not have any other obvious output or impact.)

selicos2• 1 month ago

1000000/25/8/60 = 83+ lines of code per minute.

100000 LOC per month /25 days per month /8 hours per day / 60 minutes per hour

That seems...problematic for anyone doing code reviews.

mablopoule• 1 month ago

This will greatly increase developer velocity (by making them run far away).

zombot• 1 month ago

That seems...problematic for anyone doing code reviews.

No, it's incentive to let LLMs do the reviews, supporting your tokenmaxxing efforts.

jimbokun14• 1 month ago

It has been incredibly hilarious to watch the C-suites sudden realization that tokens COST MONEY and immediately revise their guidelines for how employees should use AI.

Like maybe having every engineer generate 1 million lines of code per month every month…with no thought to how those lines of code would make the company money…or how many tokens would be burned to accomplish this at what cost…wasn’t fully thought through.

jdw64• 1 month ago

When I read recent news on HN, I feel it is a fable about Goodhart's Law. The law says: 'When a measure becomes a target, it ceases to be a good measure.' The dog should wag its tail. But the tail is wagging the dog.

Trasmatta5• 1 month ago

I think every engineer should be using AI daily.

Why?

Cthulhu_• 1 month ago

Please read the full paragraph for the answer instead of cherry picking a quote for a knee-jerk reaction:

Be curious, try the new tools, test the latest models. To not do so is silly. [...] you could delay adopting “the cloud” for a couple of years and survive. With AI you might get a few months. The way we work has already changed, and it’s not changing back as far as I can tell.

Trasmatta5• 1 month ago

I read the entire paragraph, and the entire article. Nothing in there explained to me why every engineer should be using AI every day.

weakfish4• 1 month ago

you could delay adopting “the cloud” for a couple of years and survive. With AI you might get a few months.

I really dislike these claims that act like they know the future of engineering, that they’ve been let in on some enlightenment that we haven’t been. What’s going to happen in a few months? Is Sam Altman going to nuke my house from orbit? Or is it because my CTO is going to fire me for not using AI? If it’s the latter, that’s not a curiosity problem, that’s a “there’s a gun to my head” problem.

elxr2• 1 month ago

Because it's fun. And why shouldn't we be into incremental automation?

I still write code manually to keep my trad-coding skills from withering away, but using AI without a doubt has allowed me to better test my existing apps. Create playwright automations I would've never had the time for. Allowed me to search through docs many times faster. And it just making programming more fun when I do use it for more challenging problems, and I actually get something working at the end of the day.

Trasmatta5• 1 month ago

Sounds like it's working for you, but none of that explains to me why every engineer should be doing that, and every day

drooby2• 1 month ago

Writing. Code. Is. No. Longer. The. Bottleneck.

Deciding what to build. Reviewing Code. And testing code. Are the new bottleneck.

So of course we don't see massive productivity gains. Because these parts of the SCLC were always bottlenecked but their capacity matched the throughout. We fired all the dedicated QAs years ago. Sr+ engineers that do all the code review are limited.

Teams have not re-organized to match the new code-input velocity.

Engineers don't want to do QA because it's "beneath them".. and most engineers don't like performing or are not Sr enough to do extensive or high quality code review.

gwerbin• 1 month ago

Was writing code ever the bottleneck for anyone other than raw juniors and non-programmers?

jghn2• 1 month ago

One thing the AI tools have taught me is that it hasn't been my personal bottleneck for at least a very long time. It's made that part faster for me, and that allows me to take bigger bites at the apple each iteration, but it's not meaningfully speeding me up in the way people claim.

orwin2• 1 month ago

Depends on your company. I'd say very rarely, and never for long.

sanderjd20• 1 month ago

There is some truth to this, but in practice I'm finding that yes, removing the writing code bottleneck has improved throughput quite a bit.

My day (excluding the huge amounts of communication overhead) used to progress as a serial operation of: 1. Write some code for one thing, 2. Self review of that thing, 3. Review other peoples' work, 4. Respond to review comments, 5. Get things merged, 6. Back to 1.

Now I have more of a tendency to queue up work on a few things at once, and then the serial steps are the self reviews and reviews of other peoples' work, and some of the review commentary back and forth (though I can automate some of this in parallel as well).

The upshot is that I'm more working in batches now than in serial, which I really do find to be more efficient.

It's not that it has removed all the bottlenecks at all, but no longer being required to focus all my attention for periods of time on physically typing code has removed one important bottleneck, and has changed, and I would say, improved, my workflow significantly.

adverbly• 1 month ago

This. Isn't. News.

People. Already. Know. This.

It hasn't been the bottleneck for decades for the majority of products.

drooby2• 1 month ago

I put a little too much weight on "the".. sorry..

Reality is that was A bottleneck. Code review has historically been faster than writing the code.

That is no longer true for me. I can complete two to three PRs per day in a span of time that would have historically taken one to three days.

I now sit around doing code reviews and asking for code reviews.

llm_nerd2• 1 month ago

Code has never been the bottleneck, and it was always an illusion that it was. I mean, programmers on the whole are a group that jerks around probably 95% of their time (this isn't an attack as I've spent my career as a software developer, and this included countless hours on Reddit, HN, Slashdot, and so on).

skydhash3• 1 month ago

Engineers don't want to do QA because it's "beneath them"..

I’m fine with doing QA. But the fact is that it’s not how management measure my productivity. Spending hours doing QA looks like wasting time to them because it’s not an activity they track. They track my tickets so any hours not spent on them is literally harmful.

Also there’s the fact that you can’t QA your own output. It’s easy to overlook mistakes and defects.

and most engineers don't like performing or are not Sr enough to do extensive or high quality code review.

Just like QA, code review takes time. It’s easy to justify that time when the submitter has put in the effort to ensure that the contribution is worthwhile. Or can explain the design clearly. Not so much when it’s slop thrown over the wall.

Deciding what to build. Reviewing Code. And testing code. Are the new bottleneck.

None of those are truly bottleneck. Deciding what to build is obvious: Something that solve a user problem. Reviewing code is easy when the intent of the code is clear (with additional prose if needs be). Testing code is equally easy and should already be automated.

The one slow activity has always been about designing the solution. And it has no relation to code. It’s mostly deep thinking and research. I do it on the sofa or in front of a whiteboard. If I’m typing, I already have a solution in mind.

orwin2• 1 month ago

'something that solves enough users problems it's worth it to implement it' rather, and I think it is often difficult to judge how much engineering time to spend on user issues.

I'm currently working in an internal team, so I value cost savings estimation, but even before prioritising was also a bottleneck (although a small one compared to architecture and design)

sbarre• 1 month ago

We're still in the FA phase of FAFO when it comes to LLM code generation, aren't we?

marcosdumay• 1 month ago

Weird baseless push for AI on the end, with no reasoning, no goal, no claim of gain. "Just go and use AI, people, developers must adopt new things."

It's not the first article I've read recently that is an ad for AI after a short context pretending to criticize it, with nothing connecting them.

bitwize4• 1 month ago

AI is the new cloud. There's no market for people or companies who aren't committed to it. If you're a dev who refuses to use AI, no company will hire you; and should a company decide not to use AI they will have a hard time retaining devs (and they will need more devs). Their investors and big-ticket customers will also think twice before signing off on major commitments.

So yes, use AI. Don't nitpick the costs and benefits. The world is headed this way; if you want to develop software for a living and afford to eat, you need to be too.

dakiol2• 1 month ago

and should a company decide not to use AI they will have a hard time retaining devs (and they will need more devs)

Need more devs? Why? If a company was being profitable just fine prio AI era, they will still be profitable if they decide not to use AI. Shipping crap faster is not a formula for success. Shipping quality faster? I prefer shipping quality at a good pace

slopinthebag• 1 month ago

Or, don’t. Do what you want, don’t listen to random people on the internet telling you what to do.

fzeroracer2• 1 month ago

So yes, use AI. Don't nitpick the costs and benefits. The world is headed this way; if you want to develop software for a living and afford to eat, you need to be too.

It's really saddening to see software engineers throw out all critical thinking and innovation out the window to behave like sheep and follow the trend line. The industry was trailblazed by people that refused to do just that and the same is going to be true in the future.

dmurray• 1 month ago

It's much more than that. There's plenty of market for people and companies who don't specialise in cloud software. The market for programmers who don't use AI is going to be more like the market for programmers who don't use compilers.

jimbokun14• 1 month ago

Oh come on, the value of AI > 0. That’s not a controversial take.

skydhash3• 1 month ago

Maybe. The value of leaning Linux and basic shell tools is > 0 but a lot of devs do fine without.

My take is that “$EDITOR fluency” >> AI.

ajd5553• 1 month ago

Confusing skeptic and sceptic will never not be funny to me (edit: I now live in shame)

mkl2• 1 month ago

Then I think you are the confused one, as they mean the same thing but one is US and one is UK+NZ+etc.: https://en.wiktionary.org/wiki/sceptic#English

llm_nerd2• 1 month ago

How do you mean? Guy was born and raised in New Zealand and is using British spelling. There is nothing confused or confusing about this.

forinti2• 1 month ago

Sceptic is the UK spelling of skeptic.

Maybe you've confused it with septic?

cestith• 1 month ago

I think you’re reading “sceptic” as “septic”. They are not the same word.

nkrisc• 1 month ago

About as funny as “confusing” color and colour. Which is to say: not very.

Skeptic and sceptic are pronounced identically, because they are just different spelling of the same word.

ajd5553• 1 month ago

Damn it - well, I'll never live this one down, I'll learn to shut up next time

throw4847285• 1 month ago

Nah, as long as you're good a sport about it, it's all good. In fact, it's refreshing to have someone make a mistake like that so confidently, and then own up to it immediately.

forinti2• 1 month ago

It shows good character to own your mistakes.

davenz5• 1 month ago

Author here. I think this was my favourite (and favorite) thread. I chuckled. I'm also pretty sure I could find ways to weave "septic" into a post about AI.

NiloCK• 1 month ago

Sure, live in shame, but don't let go of the humor in it all :)

ajd5553• 1 month ago

I did get quite a laugh when the comments made me realize what an asshat I was

pron• 1 month ago

This is already changing again now that CEOs have wised up to the fact that they're paying for code by the line but these lines don't translate to profit.

sanderjd20• 1 month ago

Yep, pendulum swung one way, now swinging back the other. No different than any other hype cycle.

romaaeterna• 1 month ago

So what has actually shipped? I'm already using much many more AI-coded projects in my daily life than I was a few months ago.

tedggh• 1 month ago

If your A+ senior developer spends 8 months working on a feature that ultimately doesn’t get shipped or a MVP that gets killed, then you wasted that A+ senior developer and their productivity was the same as the other two B+ engineers that also worked on the project. This is actually a very common issue and usually ignored when it comes to things like hiring or assigning resources to a project. AI won’t change that in a meaningful way, your team may just finish their tasks a lot faster but the bureaucratic layer above will likely remain the same, which will make any AI coding gains negligible. Companies would have to be rebuilt from the top down for AI and that’s very unlikely to happen.

sanderjd20• 1 month ago

I think engineers tend to over index on this kind of thing being "waste". You didn't waste that investment, you paid for the option to ship that feature or MVP and the research into the question of whether it made sense to ship it.

dijksterhuis8• 1 month ago

put simpler, you learned what not to build.

chrismarlow9• 1 month ago

That's cool but don't get heart broken when engineers leave after repeatedly being told the thing they worked on for months wont ship because someone at the top said so.

geraneum• 1 month ago

spends 8 months working on a feature

Are you sure those 8 months is not being spent on just “coding”? There’s design, product team input and iteration, etc. Where did you see that an A+ engineer goes into a cubicle and come X months after with an MVP in isolation?

photochemsyn• 1 month ago

It’s worth looking at sectors where LLM code generation hasn’t been very visible, such as certification-accredited flight-control, braking, train-control, medical, or nuclear-control source code involving real-time embedded operating systems. This sector relies on assurance: deterministic scheduling requirements, detailed commit traceability, tool qualification, configuration management, independent verification, etc.

Since this is an area where failure can lead not to Instagram accounts getting hacked, but planes falling out of the sky and nuclear reactors spewing radioactive elements, it’s worth a close look. Some of the most visible companies in this sector include: QNX, Wind River, SYSGO, Lynx, Green Hills, Siemens Embedded, etc. None of them seem to have much if any adoption of LLMs for source code generation based on public statements.

Research in this area agrees with this view:

“In this paper, I have conducted a comparative analysis of the C++ code generated by popular LLMs including: OpenAI ChatGPT, Google Gemini, DeepSeek, Meta AI, and Microsoft Copilot for compliance with MISRA C++. The study revealed that none of the evaluated LLMs generated MISRA-compliant code despite clear prompts, with DeepSeek showing the fewest violations and Meta AI the most.”

https://arxiv.org/abs/2506.23535

discreteevent• 1 month ago

This study showed that people writing computer games had little interest in productivity tools (because they are producing something that is really used). But people who produce things that not really used are obsessed with productivity:

the perennially unprofitable venture-backed startup, for which faux productivity is connected to the generally immaterial nature of its high valuations, versus the game studio that lives and dies by the profitability of its products.
In a sector of the economy where "it's not about how much you earn, but about how much you're worth," the labors of the companies whose workflows are built on the kinds of productivity apps that today comprise nearly 40 percent of Product Hunt's output are not actually directed at the creation of a thing, but at the appearance of the creation of a thing.

Maybe this is why Silicon Valley seems to have become obsessed with productivity and AI whereas the people in the industries you mention don't seem as excited. It's because they are actually making real things so they don't have to 'look busy' in order to justify themselves.

https://components.news/the-gamer-and-the-nihilist/

https://news.ycombinator.com/item?id=47235774

uberman• 1 month ago

It seems to naturally follow that a company that sells lines of code would want to measure success in lines of code.

nyrikki• 1 month ago

More that LoC is a simple metric that has always been a problem.

Non-Functional requirements is a vestigial term from ‘function point analysis’ which is from the late 70s, and which also ended up being a proxy for LoC.

The entire industry is so focused on measuring now, and incentives are so skewed to short term that lagging indicators like maintainability are a non starter in many organizations that it will be challenging to fix this time.

tracker12• 1 month ago

Which kind of sucks, when you emphasize and steer the agent(s) to more optimal solutions with less complexity and code.

jovial_cavalier• 1 month ago

The kloc fallacy never actually disappeared. Project and engineering managers got wise to the fact that it was only loosely correlated with shipping features, and stopped emphasizing it. Most everyone else has carried on silently believing it without really thinking about it. And of course engineers themselves have always believed it. How many times have you heard some guy talk about how he wrote 10kloc over the weekend as a brag?

adamzwasserman• 1 month ago

We need a Slop Audit methodology.

That is why I have created one (Open Honest Slop Audit).

weakfish4• 1 month ago

But! Hold my beer… in February 2026 METR effectively walked it back : their follow-up estimates flipped to a speedup (with error bars wide enough to ride a Moto Guzzi, with panniers, through!), and they abandoned the study design entirely - because developers now refuse to work without AI, and can’t reliably self-report time on agentic work. Their latest position: AI probably speeds developers up in 2026, and we can no longer cleanly measure by how much.

This may be true, but they followed in May with this [0]:

Importantly, survey results are not necessarily grounded in reality. There are reasons to be skeptical of people’s responses to counterfactual questions such as about AI’s effect on productivity — for instance, our study in early 2025 found that people overestimated AI’s effect on their time spent on tasks by 40 percentage points on average.

[0] https://metr.org/blog/2026-05-11-ai-usage-survey/#productivi...

davenz5• 1 month ago

Author here. Thanks, this is a useful addition I'd missed. The 40-point overestimate from their early-2025 work is exactly why I read METR's current position as "we can no longer cleanly measure this" rather than "AI definitely speeds you up now"; self-reports are doing a lot of load-bearing work in every direction, including in my own sense of my productivity.

weakfish4• 1 month ago

Good input, and thanks for sharing & writing the article!

vova4kin• 1 month ago

The thing LOC measures best is how much code someone now has to read, understand, and keep alive. That number going up is a cost, not an output.

I spend a lot of my time taking over codebases other people left behind, and the AI-heavy ones have a recognizable shape: lots of plausible-looking code, thin tests, and nobody who can tell you why a given abstraction exists. Writing was never the hard part. Deciding what not to build, and being able to delete it confidently later, is the part that does not get faster with a model.

What did get faster for me is reading and reverse-engineering unfamiliar code - which is a little ironic, since the same tools are now producing more of the unfamiliar code that needs reverse-engineering in the first place.

pavlov• 1 month ago

Converting the production database to Prolog to ship LOC.

bhanu786• 1 month ago

So, how the comapny will be evaluating the students on what basis?

nlawalker• 1 month ago

Not a better publicist, but:

A) a newly-receptive audience - engineers who have discovered that they very much enjoy and appreciate the tradeoff of proximity to the code for amplified velocity and impact, now that it's possible to achieve without being a manager of messy human teams.

B) an ecosystem in which it's grown nearly impossible to connect a functional description of something to how much bespoke construction and effort was involved, partially because of marketing and partially because of how much software already exists to be built on top of. It's impossible to tell from a few paragraphs of functional description whether something was built in a weekend or took a team 4 years to ship, so volume of code is the natural fallback for describing complexity.

bachmeier2• 1 month ago

I don't see LOC as that different from number of hours in the office. They'd always say pre-pandemic "If they're not in the office, how will I know they're working?" Simple, use the output metrics that you use to evaluate all of your workers to see what they contribute to the business.

davidclark• 1 month ago

The difference this time is pace: you could delay adopting “the cloud” for a couple of years and survive. With AI you might get a few months.

It is weird that the author seems to understand that the pro-AI claims made by AI companies about the product’s necessity are not falsifiable, but then backtracks with “woah woah woah but don’t think I’m anti-AI.”

How is the assertion above any more rigorous than the productivity claims the author is criticizing throughout the rest of the article? That you won’t “survive” if you don’t adopt AI within a few months?

It is not true when the AI CEO says it, and it is not true when the person calling BS on the AI CEO… for some reason also says it…

giancarlostoro• 1 month ago

When the AI CEO says it, its because stock go brrr. I never believed that AI CEOs because they're making unverifiable claims that they never backed up, claiming you're firing people because of AI is so open for interpretation, and it shifts blame from you to the AI, reality is we should not blame AI for something a CEO did, you could have re-trained employees for AI, but you didn't why not? Maybe because it's not about AI is it?

eikenberry• 1 month ago

It is not true when the AI CEO says it, and it is not true when the person calling BS on the AI CEO… for some reason also says it…

People do take into account the motivations behind what someone says and to me the motivations here seem different enough to make some difference here. The AI CEO has an obvious motivation to lie, but the person calling BS doesn't have such a clear motive...

jimbokun14• 1 month ago

He is talking about the cultural considerations of being hire-able. Not about productivity.

davenz5• 1 month ago

Hey, author here. Fair criticism (and thanks for reading!). What I was reaching for with the "few months" claim wasn't about company-survival, rather individual practice. I didn't make that clear enough (I actually did write this, not "AI-slop it" as some elsewhere have suggested, so maybe I got "human-sloppy" by the end).

You're right that I don't back up the "woah woah woah" bit with any evidence, but I do stand by the sentiment that I think people should use AI; experiment, find the ways it can help you (I've found that there's a huge spectrum even among similar engineers, in terms of how they get value from it). Trying the tools properly costs you almost nothing, and "adopt deliberately, measure with the boring battle-tested stuff" is not the same position as "adopt or die".

hbn• 1 month ago

When a company says “AI made everyone more productive, so we need fewer people”, I want to see the evidence - and I don’t believe it exists today.

Because they're bullshitting and using AI as an excuse to correct from their covid era over-hiring while simultaneously making themselves look good to investors by showing they're embracing the hip new technologies to become a more streamlined and cost-efficient operation than ever.

onlyrealcuzzo• 1 month ago

while simultaneously making themselves look good to investors by showing they're embracing the hip new technologies to become a more streamlined and cost-efficient operation than ever.

This is not anything new... It just has a new name...

themafia2• 1 month ago

covid era over-hiring

That's a generous excuse. To me it looks like they're just trying to depress wages across the board. Given that _several_ rounds of layoffs have occured since then, this 6 year old excuse rings particularly hollow.

investors by showing they're embracing the hip new technologies

I thought investors cared about returns.

to become a more streamlined and cost-efficient operation than ever.

And a completely uncompetetive one as well. "We're using the same whizz bang technology that any idiot in their bedroom can use!"

SCdF3• 1 month ago

It is endlessly... amusing (?) to me, that we as a community spent decades trying to make it clear that our productivity is not easily measured because what we're doing is complicated and long running, only for AI to come along and suddenly LoC, Nx multipliers, tickets / week etc are held up as useful if not objective measurements.

The reasons we rejected LoC and other measurements have not changed (broadly: code output isn't important, quality output is). AI has all the same problems people do. But for whatever reason we are throwing what we've learnt away. It's kind of embarrassing.

Laurel1234• 1 month ago

All that to shill slop machines so the billionaire class can throw people out on the street.

fasterik• 1 month ago

The non-technical people are in charge and they're not tethered to reality in the same way that engineers are. Objective reality will win in the end, but that doesn't prevent damage being done in the short term.

SCdF3• 1 month ago

IDK, I do think a lot of it is LLMs enable people who were not in our community to come into it (in an eternal september kind of way) and they are going through all this from first principals and ignoring their elders, but I've also seen technical people suddenly measuring themselves this way. The most optimistic read of this is that they _feel_ productive, and that feels nice, and they want to share how that feels, and so they are reaching for these garbage metrics because they have nothing else.

joe_the_user2• 1 month ago

Maybe a particular group of software engineer cultivated the need for careful measures. But the programming field never escaped the idea of simple metrics.

That's because you would always have loosely involved but aggressive and demanding bosses (there is unfortunately an economic value to the boss whose primary task is forcing more effort out of the employee and who doesn't help coordination or anything else). So at best you had two intersecting clouds of approaches with actual accomplishment intersecting with LoC and related measurements.

The thing AI is that it provides all the tools to satisfy that loosely involved but demanding boss. So suddenly you are going to have a larger demographic of people who like LoC and feature-additions as metrics 'cause now they are easy.

cyberrock• 1 month ago

we as a community spent decades trying to make it clear that our productivity is not easily measured

Did we? All I saw the last decade was increasing worship of the Github activity grid, from both engineers and non-engineers. IMHO the bazaar had already lost its way before this.

SCdF3• 1 month ago

I had seen, up until LLMs, posts in this theme: https://dannorth.net/blog/the-worst-programmer/ pretty regularly. This one was only a few years ago!

Maybe we run in different circles. Or did, anyway.

gedy• 1 month ago

I'm reminded of my first tech job about 25 years that had some not very technical manager who had a technical toady write up a script to check lines of code added as a productivity measure. I was in big trouble because it didn't account for lines removed or modified, only new lines added. The copy paste guy was praised of course for how productive he was for.

Funny how AI is continuing the same story of non/semi technical busy bodies with their dumb bullshit.

dktoao• 1 month ago

Instead of building up a sane system for handling dependencies, just copy-paste them whole cloth into your code! Instant rockstar status!

tehjoker• 1 month ago

I don't get how if productivity is barely moving, how a decrease in comprehension will improve anything.

bluGill3• 1 month ago

When will performance or lacks of bugs become a metric again?

Lerc• 1 month ago

When a company says “AI made everyone more productive, so we need fewer people”,

They are implicitly saying that as a company, they don't want to be more productive. They want the same productivity by paying fewer more productive people.

Why is there an imbalance between what an employer gets paid for a unit of production and what an employee gets paid for a unit of production?

palmotea3• 1 month ago

Why is there an imbalance between what an employer gets paid for a unit of production and what an employee gets paid for a unit of production?

Because labor gets exploited to make the owners richer. That's the basic fact, even though the owners (as a class) have financed a lot of propaganda to justify and obscure it.

nlitened3• 1 month ago

Because labor gets exploited to make the owners richer

Only a person who never tried to organize labor into a company could ever have such a couch-sitter opinion

no-name-here• 1 month ago

They want the same productivity by paying fewer more productive people.

I believe you mean same output but fewer people? But by definition that would be higher company productivity, as the definition of productivity at the company and/or national level is the ratio of outputs to inputs. If you have fewer people but are getting the same output, then the productivity of the company (or nation) has improved.

If you had fewer people but the same productivity then there would be no benefit to the company as the outputs would correspondingly be reduced (and it may actually be worse for the company if the company has any fixed costs).

https://www.mckinsey.com/featured-insights/mckinsey-explaine...

panny2• 1 month ago

Another AI slop article urging me to use AI on the orange AI fanboy site which has guidelines against AI slop comments, but AI slop submissions, that's just fine I reckon... Screenshot since the share button demands I have some social media login.

https://imgur.com/a/UW15xVE

sanderjd20• 1 month ago

Genuinely funny how often I see both "HN is an AI hate site" and "HN is an AI fanboy site".

As dang said in one of these threads recently, opinions are just spilt on this!

panny2• 1 month ago

I show dead and never see a dead fanboy. Just the critics.

davenz5• 1 month ago

Hey, author here. My AI overlord advised me not to engage with this comment, but I don't like being told what to do.

I don't know what the reference to "orange AI fanboy site" is, sorry, but I do find it interesting that what I assume is an AI-writing-detection-site pegged it as 100% AI written. Obviously folks will believe what they believe, but just to satisfy myself I will state that I used AI (Claude Fable 5) to help with research by suggesting and then summarising articles, then interviewing me both as a supporter and detractor to really solidify my position (essentially arguing/debating with the AI), and then it suggested the post layout (funnily enough including that specific subheading "Why I actually care", which I will concede sounds AI-as-hell), but I then wrote everything else. I did paste in any quotes and specific numbers (which that section has quite a few of), and I did then do a final pass with AI (both Fable, and then ChatGPT) to pick up spelling, grammatical issues, formatting, etc. Anyway, have a good weekend and thanks for reading. :)

enejg• 1 month ago

Bragging about an AI agent generating a million lines of code is exactly like bragging about an automated factory generating a million tons of airplane weight. It completely misses the point of engineering. The bottleneck in software development hasn't been "typing speed" for a very long time; it's domain understanding, system design, and long-term maintenance.

Every line of code an LLM instantly spits out is a line a human engineer will eventually have to read, understand, debug, and migrate when the underlying business logic changes. The "better publicist" might be successfully selling these generation metrics to executives, but it's the actual engineering teams who are going to be paying the maintenance tax on all this auto-generated sprawl for the next decade.

ashitesh_12• 1 month ago

"As someone who spends a lot of time writing x86_64 Assembly and optimizing pure-JAX code for TPU clusters, this recent obsession with LLM-generated 'Lines of Code' metrics feels like a massive step backwards. In High-Performance Computing (and especially things like quantum simulation, which I work on), the entire goal is reducing complexity and overhead. The magic of frameworks like JAX/XLA isn't how many lines of code you write, but how elegantly a few purely functional lines can compile down to highly parallelized hardware instructions. If an LLM writes 100,000 lines of boilerplate for a project, someone eventually has to maintain, debug, and pay for the compute to execute that bloat. The real value of AI in engineering shouldn't be churning out a million lines of CRUD per month; it should be helping us build better differentiable systems, grokking complex mathematical landscapes, or spotting inefficiencies in low-level execution. We spent decades learning that Goodhart's Law applies heavily to software engineering (more code != better software). It’s strange seeing leadership forget that just because the code is now generated by an agent."

the_af2• 1 month ago

I think this is important:

When a company says “AI made everyone more productive, so we need fewer people”, I want to see the evidence - and I don’t believe it exists today. Show me that x% of your workforce is genuinely idle (or even just underutilised) because the work can now be done by fewer people. Even then: I’ve never seen a product/SaaS company that didn’t have an endless roadmap. If you got a free headcount increase essentially overnight, why wouldn’t you use it to deliver more value to your customers, faster? That should show up as MAU, conversion, revenue.

I see some people calling for calm instead of AI panic by invoking Jevons Paradox. But at least within these companies there's no good evidence of Jevons in action, is there? The roadmap is endless, but when employees are perceived to be idle they get fired instead of being assigned more (or more ambitious) tasks.

To be fair, one could claim Jevons applies to "the market" at large, but at least we can say the evidence from tech companies is not encouraging. So maybe it is, indeed, time to panic a bit?

Choosing the layoff instead tells me the productivity claim is doing PR work for a decision that was already made for other reasons (over-hiring, investor pressure, take your pick).

Yup, I think we all suspect this. Though it's probably a mix of the two factors.

bachmeier2• 1 month ago

So maybe it is, indeed, time to panic a bit?

Anyone relying on a steady paycheck from an employer should panic a bit all the time, because nothing can save them from bad management. The reference to Jevons Paradox doesn't say anything about individual managers responding correctly. If 30% of managers screw up, that's a lot of collateral damage.

Now to respond to your actual point, I don't think software developers should panic. Even if pure software engineering gets hit hard, I'm having trouble imagining a scenario where years of software development skills plus knowledge in a specific domain isn't a good thing for current software developers. This is unlike what happened with international trade, where you had 60-year old textile workers losing their jobs, no alternative jobs, and no policy being offered to compensate them for the effects of trade.

sanderjd20• 1 month ago

Yes, it's the "market" argument that I find compelling. That is, not jevons within firms, but rather across them.

Is it true that the evidence in tech so far is not encouraging? I was pretty worried about the job market a year or so ago, but it seems pretty good for experienced people at the moment, no? (I do have big concerns about the entry level pipeline though!)

strix_varius2• 1 month ago

Measuring programming progress by lines of code is like measuring aircraft building progress by weight.

https://www.goodreads.com/quotes/536587-measuring-programmin...

dakiol2• 1 month ago

The difference this time is pace: you could delay adopting “the cloud” for a couple of years and survive. With AI you might get a few months.

I don't think so. Take a good company A (with a good product and a good pace of good features) of today. Take the extreme case they decide not to use AI at all. Well, they will still be shipping good features at their current pace.

No amount of AI will make a bad company ship a better product than A's. If any, bad/mediocre companies will be pushing crap faster than they did before, but that's it.

AI can make good companies better, but cannot make bad companies good. Why does company A need to worry about shitty companies using AI? Sure, other good competitors could be using AI, but all in all, shipping "faster" is not the "mark" of good quality

gamerdonkey• 1 month ago

Yeah, that closing message was a little weird to me. I understand framing the article as "not anti-AI", especially if the author uses and enjoys the tools. But the end sounds like a call to blindly adopt the tools and figure out the justification later.

sanderjd20• 1 month ago

Yeah I think it also really depends on what your business is. Many or most of us here (and likely also the author) work in the kinds of tech-forward businesses where competition is fierce and velocity is essentially. But there are many many businesses, and also tons of public sector organizations, where this is not the case. Leadership in those organizations should probably be going a lot more slowly, waiting and seeing, letting all the fast movers fight it out through all this churn, and adopting only whatever eventually rises to the top.

davenz5• 1 month ago

Hi, author here. You're absolutely right! (yes, Claude-pun, I'll see myself out...) - I mean, I agree that Company A will remain "good", and may not need to worry about Company B. If that came across in the post then it was unintentional.

A lot of the criticism I've seen here could probably be addressed by me clarifying that no, I don't think AI should be blindly adopted, and no I don't think it adds efficiency or productivity by just existing and being "used". It needs thoughtful implementation, and each developer I know or manage or have chatted to uses it subtly differently, hence why I encouraged experimentation and trial-and-error, because when it "clicks" for you, then in essentially every case I've experienced or seen first hand, its added something (whether rigor, speed, efficiency, capability, etc).

ChrisMarshallNY• 1 month ago

I kinda feel as if this was the money quote:

If you got a free headcount increase essentially overnight, why wouldn’t you use it to deliver more value to your customers, faster?

That shows that, in reality, it's short-sighted profit-taking. Boss just wants another lambo in the garage, and doesn't really plan to be around, when it's time to pay the piper.

jimbokun14• 1 month ago

Also means they don’t have any ideas for how to grow revenue.

elzbardico• 1 month ago

Amateurs. Using LLMs merelly to generate code. pfft... so 2026....

A few of my workflows now are: Use an LLM to generate code that generates code.

"Second Order AI Software Engineering(TM)"

bitwize4• 1 month ago

This is also called Spec Driven Development.

WesolyKubeczek• 1 month ago

You should trademark Metaslop™!

softwaredoug• 1 month ago

The paradigm used to be create good enough abstractions you can express what you need in a few dozen lines or whatever. Those lines will be clearer and more precise than English for describing what it does.

I wonder if we'll ever get back to that? If it's still relevant?

foolserrandboy• 1 month ago

I think LLMs will make vertical slice architecture more common using less abstraction. If juniors are mostly relying on LLMs then they will accept the long files it generates and not have the opportunity to learn abstractions.

osigurdson• 1 month ago

I think a better metric these days is what percentage of code is not reviewed / understood by humans. That is the real bottleneck. Until we can stop looking at the code, AI barely matters - you are just trading quality for quantity.

Thats why it is so amazing for speed runs and prototypes. Here it is legitimately > 10X faster.

TheGRS2• 1 month ago

You need to retrain managers from seeing a prototype and thinking "yep, ship it" and over to "okay, how do we build this properly?" And I don't think that's gonna happen.

jasondigitized• 1 month ago

My old CTO has a spiritual metric that always resonated with me: Revenue / Lines of Code. The higher the number the better.

TheGRS2• 1 month ago

It is pretty funny how this whole industry in a very short amount of time, with tons of experience and knowledge to lean on, reverted back to dubious measurements of productivity. If you track LoC and tokens used as productivity measurements, developers are going to max their LoC and token usage! Its so predictable that we have a Law named after this phenomenon! The fallout was so predictable I feel like I should have been positioning myself for all of the potential consulting work that's about to be needed.

sebastialonso2• 1 month ago

This is the way. If the C-suite idiocy is inevitable, as I believe it is, the more moral thing to do is to take advantage of such idiocy.

japhyr• 1 month ago

But adoption is the starting line, not the scoreboard.

Yes yes, shout it from the rooftops! Over the next few years I think we're going to see that companies that get this point will keep doing meaningful things, and stand a chance of weathering this transition period.

I think we're going to see a bunch of companies that went all in on AI for AI's sake go under because they've lost their mission, lost their implementation, and won't have a way to get those back in a reasonable timeframe and at a reasonable cost.

enraged_camel• 1 month ago

I don't know about anyone else, but for me, even though the AI writes a lot of code, the vast majority of that code tends to be... tests. Same with my coworkers.

This morning I reviewed a 1,200 LoC PR. Pretty large by pre-AI standards. But most of it was tests. Before AI, it would be a lot smaller, but only because the PR author wouldn't be nearly as diligent with test coverage as AI tends to be.

And to preempt some common rebuttals:

1. I always read the tests to make sure they are meaningful, and rules and subagent review routines in place to make sure stuff like "assert 1 == 1" or "Process.sleep(5000)" never make it in.

2. Tests do add a maintenance burden as well, but I find that it's pretty easy to refactor and condense tests.

tracker12• 1 month ago

If developers burn through thousands in AI tokens a day, does it really matter, and is it a good spend? Are the outputs actually checked for sanity, fitness, qa/qc, security etc. How much rework is coming out because of lack of validation, or too much automation in the soup.

The more I read, the more I feel that 1 dev, 1 ai agent with the dev as a gatekeeper is probably the most appropriate workflow. Where you now treat the single dev + ai as a team in terms of planning and cost analysis and you get about 1.2-1.3x the throughput compared to a traditional team of 3-5 devs with partial PM and partial QA where the Dev now needs to take on those roles too.

The output should include more/better testing, examples, demos etc... since the bus factor is now 1, but AI is expected to be able to do the heavy lift.

chris_money202• 1 month ago

LoC by itself is useless and so is AI LoC, it doesn't really show anything by itself.

But if you pair AI LoC in a range and also task completed in the same range and then compare that with historical data over a similar range without AI, then you have something tangible.

You also need to look at defect reports to understand the full picture of is AI being helpful.

So, we do need to measure AI LoC and AI PR counts, but we also need to make sure we are using other metrics to help paint the full picture.

inerte• 1 month ago

Reporting on percentage of AI generated lines of code is very different from total lines of code. Yes I know both of them are missing what's the value delivered, but the later assumes the value is the number of lines, while the former assumes value is at least the same but delivered faster.

YtMtBt• 1 month ago

I guess nobody cares anymore that AI is built on one of the largest thefts in history.

zingar• 1 month ago

I agree with the main point but this misses something crucial:

why wouldn’t you use it to deliver more value to your customers, faster? That should show up as MAU, conversion, revenue

Most roadmaps are full of garbage and would be better off being deleted. You get very few truly useful new features in a year.

To paraphrase ESR: the value to your customers is in them being able to know that can rely on your product still operating next year, not in those 20 new features.

Or to think about it another way, maybe block will be better off with fewer developers, but only if they produce sufficiently FEWER features so that they’re forced to prioritize.

Pxtl• 1 month ago

To play devil's advocate for a moment (although I hate it): LoC often actually means NIH... but NIH suddenly has a pretty big proponent in the form of resistance to supply-chain attacks.

Basically the choices are:

1. Roll your own

2. Lockfile your deps for too long

3. Chase the bleeding edge for every dependency

The first is security-through-obscurity because DIY libs will have bugs and vulns but they won't be well-known. The second means missing known vulnerabilities. The third means supply-chain risk.

The rash of attacks and the ease of LLM-powered roll-your-own has shifted the risk-reward calculus towards 1.

But I hate it. This is the further Peter Pan never-gonna-grow-up of our industry that we cannot develop solid best-practice tools and must churn endlessly.

hcayless• 1 month ago

Many mid size to large companies are hilariously inefficient and the executives have no idea how work actually gets done. This means you can (in theory) fire a decent percentage of your workforce without affecting your output. You can then claim they’ve been replaced by AI without anyone ever challenging that assertion. I’m not making a pro or anti AI claim here, just saying that you won’t know whether you were wrong about it until/unless things start to go really badly.

sfink• 1 month ago

I largely think that we engineers are to blame for LoC being still perceived as an asset rather than a liability. We are proud of stuff we create, but it turns out that you can't describe how "big" something is without some metric, and so we fall back on the metric that is easiest to compute.

Suggestion: we should all shift our terminology, and in particular make heavy use of phrase "...and it cost N lines of code". And say what we spent those LoC on.

"I implemented new feature X, and it only cost 200 lines!"

"That bug was brutal to figure out, but in the end it only cost 6 lines of code."

"It was doing something in case X that it didn't do in case Y, and it turns out that the distinction wasn't even needed. So I fixed the problem and saved 20 lines of code at the same time!"

Lines of code are a price you pay. We don't go around bragging about how we spent $200 without any mention of what we purchased with that money. Why do we do that with LoC? "I had to pay an extra $200 because I signed up late" and "I only paid $200 for my hand-painted artisanal pottery lamp hanger. Factory-made ones cost upward of $1200 on Amazon!" are two very different statements, and map to exactly the same distinction in code.

grahamgooch• 1 month ago

Large enterprises class systems are notoriously difficult to work Ai. It’s the context window limitation. Assuming 10 tokens per LoC. The best models today cannot wrangle 100k distributed LOC across multiple repos. It’s great for building new and maintaining smallish codebases. All this code being written is fantastic, but maintaining them efficiently over the code lifecycle is tricky.

satvikpendem• 1 month ago

It's dying down now because unlike before, companies are paying out the ass for those tokens, where many companies now have token budgets enforced rather than the previous tokenmaxxing.

cratermoon3• 1 month ago

Another writer, back in February[1], noted "Every major tech CEO is now competing on what percentage of their code is written by AI"

1 https://www.thepragmaticcto.com/p/lines-of-code-are-back-and...

monitosi• 1 month ago

beautifully put, AI is changing the way we make software but the way we measure productivity is still in our hands. L'chaim!

teleforce• 1 month ago

Call it AI-first, AI-proficient, whatever you like

Can we just call it AI assistant and since it is really what it is. Just call a spade a spade, call it a day.

Nvidia boss Jensen Huang refer to AI as teammate in his recent COMPUTEX presentation, but it's disingenuous to call that since it's a just tool, but a very potent tool nonetheless. He's obviously biased to a fault but he's literally banking his company on AI now, but for the rest of us AI assistant should do more than fine.

Calling it teammate, workmate or friend is also rather childish. It's like having an imaginary friend that can lead young people to do silly things and this risk probably can be extended to junior developers [1],[2].

[1] Chatbots Can Be Dangerous For Kids:

https://www.psychiatrictimes.com/view/chatbots-can-be-danger...

[2] Why AI companions and young people can make for a dangerous mix:

https://med.stanford.edu/news/insights/2025/08/ai-chatbots-k...

chamomeal2• 1 month ago

Anecdotally, coworkers are writing a LOT more unit tests. By which I mean NOBODY is writing unit tests, but Claude is generating a ton of em. We’re talkin 300 lines of unit tests for 20 line changes that are already covered by other, better kinds of tests. Huge JSON objects of test data that we already have generators for, etc

gib444• 1 month ago

but Claude is generating a ton of em. We’re talkin 300 lines of unit tests

Of course - it is setting itself up for more token consumption later: when a small change is needed, it may have to parse/adjust 10,000s or 100,000s lines of test data / code...

A sensible senior developer would recognise the shackle that huge brittle tests suits can become and correct course. But this is against Anthropic's business strategy

mahirsaid• 1 month ago

I too made a post like this on here not that long ago. The point i was trying to make was to be AI knowledge first. The tools are here and someone has spent lots of money(foolishly yess!, But) creating this tools, so why not use them to your advantage. The one's that wait too long find themselves playing catch up on the next big thing that's comes of it. This is a phase that will blow over and in that process there is something cooking. Think of it as the stepping stone to the next era into the future. The future isn't created on its own, we must push for it. Hope doesn't do much in creating innovative advancements.

Before the smartpphones we have today there was touch pad LCD products all fighting for what now we call smartphones, that came with heavy innovative techniques to achieve a goal. The goal wasn't evident nor clear at the time.

This will lead to something else that is far more useful and could be harmful in many ways not just to employment.Economies are changing like never before transformational force are changing our lives as we speak. housing prices, Wages, Technology, Political Power, Warfare, ideologies, the list goes on. AI is the starting point in this new era. Choosing to use silly words like " This is not how we used to do things: no shit, we also used to ride horses and sacrifice virgins for it to rain. I don't know when people will ever get this ( The world is ever evolving) that is what humans do.

Having a say so and a control in what is harmful and what is helpful is just as equally important.

tdeck• 1 month ago

What happened was the audience changed. Before, the audience for things about writing code was mostly software developers. Now it's the employing class. The collective wisdom of engineers? It has little impact on the conversation because the audience doesn't care. In fact, it's more than indifference; many are eager to no longer be "burdened" by it.

Not only do they not want to pay our salaries, which is an expense, they're eager not to have to depend on our expertise or judgement as well. That judgement and expertise is a locus of control that resides outside their own hierarchy.

adamddev1• 1 month ago

I’ve watched this industry absorb higher-level languages, IDEs, autocomplete, agile and devops, and there were always crusty hold-outs reminiscing about the good old days before X came along and ruined everything.

But all of those things were consciously built, deterministic and transparent tools. LLMs/AI are something fundamentally different.

trashb2• 1 month ago

yes it does seem fundamentally different. Most claims about AI are unmeasured marketing and favoritism. Similar to how management wants you to use eclipse or codeblocks to a developer that uses Emacs skillfully because it is shiny and new and they don't understand the requirements of the developer.

trashb2• 1 month ago

  When a company says “AI made everyone more productive, so we need fewer people”, I want to see the evidence - and I don’t believe it exists today.

I think these companies doing "AI layoffs" do actually see improvement though it is a placebo and not caused by the AI usage. Don't we know for a long time already that leaner software teams perform more efficiently?

  don’t read any of this as anti-AI

I am not afraid to say I am anti-AI it surfaces a rot that in this industry marketing ideals and anecdotes have more impact then measured performance and that many people still find it very hard to estimate a developers performance, impact.

AI is shit, doesn't speed up my work. Only 10/20% of programming is typing and AI can do that fast, but the whole process no. If you disagree show me a proper study where actual improvement is measured.

Probably you could get a cheaper and more constant improvement if you make sure the developers are properly trained in the IDE's and environments they are already using. For example give everyone a Unix programming course and a course in their preferred IDE.

orgad• 1 month ago

i wish the shortcut from a-b will be faster then ever this 2026! thanks all

adamtaylor_13• 1 month ago

By this argument, I guess we should write our code slower too. Maybe we should only use a single finger as we type. And add an extra day between email responses.

Because by the inverse of their argument, slower MUST be better, right?

This is silly. LLMs are a diesel powered keyboard. If I've got a backlog of features, why shouldn't I ship all of them? If they're bad ideas, I can also just remove them.

Nothing about SDLC best practices has changed EXCEPT the ability to increase volume.

Lines of code got a better publicist

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