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Posted by ingve 12 hours ago

The Coming Loop(lucumr.pocoo.org)
267 points | 209 commentspage 3
stuartaxelowen 3 hours ago|
This blog post pints to the fact that you need information across scales to make really insightful products and software. You need to understand fundamental mechanisms, strengths, and risks of your software to know where to make bets next. You need to know about the “how” of your optimization system to know which customer asks to deny.

Using layers like the loops described here to abdicate your work is you decoupling from the joint market/engineering value you originally provided.

contagiousflow 9 hours ago||
> You Cannot Quite Opt Out

I am so over this. I cannot take anyone seriously that claims inevitability of their ideas, and how you must adopt them without "being left behind". If these tools are so good and so capable the result should be able to speak for themselves rather than this FOMO inducing, emotional language.

dvogel 9 hours ago||
I couldn't agree more. Thus far I'm still objectively more productive than all of the AI enthusiasts I've worked with. I think a lot of the activity with these tools is coming from people who just enjoy using them more than they enjoyed coding. They feel more productive not because they are producing more but because they are producing somewhat less with much effort. It takes them roughly the same amount of time even if it changes the distribution of time spent on each task.

> and in recent weeks it has started to dominate the Twitter discourse.

As a general rule, I don't waste my time with the advice of people who still think Twitter is a source of wisdom.

timmytokyo 3 hours ago|||
It's especially rich when you consider the shitty code the "loop" produces. The article quotes Boris Cherny as if he's someone to look up to. But then you look at the code he produces with "loops", and it's an unmaintainable ball of mud:

[1] https://neuromatch.social/@jonny/116324676116121930

[2] https://neuromatch.social/@jonny/116349873176941251

ElatedOwl 8 hours ago|||
the point of that section is that attackers and security researchers will use / are using loops, and you as the maintainer are not able to opt out of others doing this. an unwilling participant.
jcgrillo 7 hours ago||
No, but you always have the option to opt out of being a maintainer. If "the community" is going to behave badly and bury you under a barrage of vibeslop you can just leave.

EDIT: there's a version of this that could be positive--everything could get a hell of a lot more secure. But that doesn't seem to be what's happening.

unknownfuture 9 hours ago|||
You're being uncharitable. I don't read it as intentionally FOMO inducing. I read it as the exhausted sigh of resignation from someone who sees where the wind is blowing whether they like it or not. I see it as someone watching tech management and execs listening rapt as Boris pours the poison of AI maximalism in their ears. I read it as someone who sees developers around them either drinking from that same poisoned well or bowing under the pressure from those leaders to adopt AI or lose their livelihoods.

It is true that the author is incorrect: you can certainly opt out, but you won't be opting out of AI, you'll be opting out of the industry.

contagiousflow 9 hours ago||
"the industry" is not some monolith, and treating it as such is no productive. There are all types of software and many ways in which it is created. If the companies that are "AI enabled" are so much better we should see some big changes soon. But I'm still waiting for products I use from "AI enabled" companies to start churning out features at unprecedented speed.
unknownfuture 8 hours ago||
So then what's your experience in your current place of work?
Lambdanaut 9 hours ago||
In my experience, some language like this is the result of witnessing it speak for itself.
inline_always 3 hours ago||
The bottleneck has always been the 'verification' and 'trust', that's why we have senior engineers, same way you need a head architect sign-off on a blueprint, because when things go bad you need a human agent to be the responsible party. Even if we manage to teach a herd of dumb AIs to produce massive amount of code, who's going to trust that output with their life?
wahnfrieden 3 hours ago|
That's the entire topic - loops are not just infinite output, they require automated verification and progress evaluation steps.

The game is to find ways to automate that. Not fully but yes to reduce what's required from humans. Seems like you're questioning the entire premise rather than pondering how far it can be taken and how.

agumonkey 6 hours ago||
I can't help but be tired of the LLM trendy, where people bang at loops until they hope the model sculpts something. It feels so empty mentally to just have results without constructing it.

That said the idea of loop has always been there (iteration, V cycle etc) but I'd be glad to find people with more theory and less agents swinging blindly so to speak.

artisin 9 hours ago||
This.

> Present-day models tend to produce code that is too defensive, too complex, too local in its reasoning. They avoid strong invariants. They add fallbacks instead of making bad states impossible. They duplicate code, invent bad abstractions, and paper over unclear design with more machinery. Worse though: I so far see very little progress of this improving.

Context-smithing can help to a degree and cyclomatic-like complexity rules tend to make matters worse. So, you either roll up your sleeves or close your eyes and hope for the best. I've had limited success with the latter.

handoflixue 9 hours ago|
I was really surprised by this part!

I've run into the issue a lot; I know it happens. I handled it manually for a while by just having a fresh instance inspect the code - "review this for DRY violations" and "how would you re-write this into a global architecture instead of a bunch of local code".

Eventually the list ended up long enough that I've got an agent that handles it. You've just got to treat "write code that works" and "write elegant code" as two separate tasks - either a fresh instance or an Agent will work

joenot443 10 hours ago||
We've had great success with agents thus far at my job. A year into Clauding and all our dev metrics are up while our downtime has remained steady.

Being an iOS engineer, much of my engineering cycle these days is going from Figma/PRD → spec → code. After being handed off to QA, we handle the bugs and product slips as they come through, while we simultaneously build/spec the upcoming addition. This is basically the same agile style that's been popular for 20y, just super-powered with agents.

How might someone accomplish the same goals using loops instead?

Jcampuzano2 10 hours ago||
I personally have not had good luck with loops due to similar issues as the post author - but if you were to port your flow to "looping" it would be something like:

- An automation that periodically checks for PRD's at a given location that have not yet been implemented.

- If it sees one not implemented, it puts a lock on it (so other agents later don't pick it up while its still working) and implements the PRD in code, assuming it has the figma link and all specs required.

- When its done it makes a PR, waits for if it passes and even in some cases automatically merges into your staging/preview enironments and just pings you with a build/URL. You can then leave feedback or something and it can also also poll for pending feedback. Or you just mark it looks good, the agent then merges the PR, moves the PRD to implemented status, maybe even writes/updates docs and cleans up any temporary work.

- Repeat checking for new PRD's every T unit time. (10 minutes, 1 hour, etc)

This is how people say you should be looping - you never even cared or looked at the code, and also never prompted the agent yourself.

But I find most agents are often pretty bad still at replicating UI vs making something from scratch and most design specs are still not as detailed around how things look at all sizes, in all scenarios etc. Design seems to be one of those things that still requires a human to validate. And then all the things the post author mentions about it not being willing to apply hard constraints, minimize impossible states, validate at edges and prevent horrendous overchecking of things. etc.

camillomiller 10 hours ago|||
Would you have a breakdown of costs/benefit? Can you say with certainty that this workflow has increased productivity so much that you are seeing profit increases that you wouldn't have otherwise noticed just by hiring more people? Asking with no ill intention, I just crave for actual business cases that make sense, and yet no-one seems to be able to reliably produce that.
noodletheworld 9 hours ago||
Use appium or XCTest or swift testing; generate the tests first (failing) from the spec.

The loop is basically then a while loop:

While (tests fail) { trigger agent: spec, failures list }

for bugs, write failing tests.

Its basically TDD.

Loops do nothing useful beyond making the “spec -> code” step more “hands off” and let you be confident that the code you write does what is intended.

Obviously you see the issue: writing the loop harness is > effort than not having it…

…but the idea is that you run “spec first” and are totally hands off on the code, just updating the validation step and then waiting while the agent iterates over and over to solve for some solution that passes the loop harness.

People suggest that it is possible to go, eg. directly figma/jira to harness via (random tool here), saving even more time and invoking even fewer humans, but thats currently, as far as I can tell, actually just hype.

No one is actually doing that effectively.

Loops are currently carefully hand crafted, which makes them tedious and of questionable value imo.

CuriouslyC 9 hours ago||
Part of the problem is that models don't have a strong sense of taste, part of the problem is that the context in which projects exist is incompletely represented in the LLM context, and part of the problem is that LLMs tend to be myopic.

The lack of taste can be mitigated to some degree by improved training, though taste is not a stationary distribution in humans (see trends/fads/etc), we can at least better track the cutting edge. I think this area still has low hanging fruit but frontier labs are more concerned with being able to solve problems than the style of the solution right now (for evidence of this just look at the Opus 4.5 -> 4.8 arc).

The problem of incomplete context is partly a human problem and partly a harness/interconnectivity problem.

LLM Myopia is a harder problem to solve just by virtue training models on question/answer pairs. Countering this requires emphasizing RL on solution paths rather than just prompt/response, which is doable but harder.

zahlman 2 hours ago|
> The lack of taste can be mitigated to some degree by improved training, though taste is not a stationary distribution in humans (see trends/fads/etc), we can at least better track the cutting edge.

The point of "taste" is not to copy from others, even if you can somehow filter out the trends and fads. And really, that filtering comes from personal experience anyway.

ramon156 11 hours ago||
Quoting the creator of CC holds little value in my opinion. I too call my product good.

> opting out of this fully machine-driven future may not be an option.

I am contemplating whether I want to stay inside this rat race.

I completely agree with the conclusion of this blog post, by the way. I feel uneasy, and I do not enjoy the work I deliver using LLMs. I think OP did a really good job on capturing at least my current state.

meowface 10 hours ago||
I and my friends go back and forth, every day, on whether coding with LLMs is a net plus or a net negative.

I'm at the point where I think it's dumb to not do it but also dumb to do it. I have no real answer.

I have settled on using LLMs for everything but to spend more time honing the quality and cleanliness with LLM passes afterwards than I generally would have taken to write it well myself in the first place. This is in some ways the worst of both worlds, but it somehow lets me bypass akrasia while still getting pretty good code out, so I consider it superior to how I worked before. I get more done in three months even if I get less done in a day.

zahlman 2 hours ago|||
> but it somehow lets me bypass akrasia… I get more done in three months even if I get less done in a day.

I think this is going to be a big deal for many programmers in the long run. "Flow" comes from feeling faster as much as it does from actually being faster in the moment. Perhaps more. And yesterday's good experience leads to today's motivation.

pdimitar 9 hours ago|||
I am with you here but don't get overly pessimistic: devising hooks and stopgaps and flows and constantly tuning what to watch out for does not only improve the quality of the LLM-output code. It hones and refines your own abilities.

CC has made some pretty dumb stuff in my projects but I don't resent those occurrences. They taught me (more accurately: reminded me, because I already knew but was not applying that knowledge too often) very valuable lessons on code quality -- that's still a dark area to this day and every ray of light on it is valuable for the future programming.

To me programming with LLMs made me a better programmer. But yes, I don't just rubber-stamp PRs.

It also finally allowed me to be less of a code monkey and more of an architect and a backend lead than before. Which I was really missing.

_verandaguy 10 hours ago|||

    > I am contemplating whether I want to stay inside this rat race.
I'm in the same boat. I'm hoping to go back to school in 2027 and be out of work that revolves around programming in 5 years.

I'm not enthusiastic about the field anymore, which sucks, because I used to love working in programming.

endemic 9 hours ago||
What are you going to do? Asking for a friend.
_verandaguy 9 hours ago||
I'm still trying to figure that out. Something diplomacy-adjacent would be interesting to me; maybe conflict studies, or international relations.

Based on word from my friends who work in the field, a lot of it is people who have a lot of respect for the field, and a lot of professional respect for eachother. It's also a field I feel is unlikely to suffer from the same kind of scams that are taking over software while still offering an engaging environment.

It's also work with real-world impact, which is nice, though obviously comes with its challenges.

Devasta 10 hours ago|||
> I feel uneasy, and I do not enjoy the work I deliver using LLMs.

I have basically stopped writing code in my spare time since the advent of AI. Before I felt like I was working on a classic car. Was it a practical use of my time? No. I could go out and download software that did what I wanted. Did I have fun doing it? Yes, the act of working on it was important, I felt I was still learning and improving as I did.

Nowadays I see people doing far more in a month than I could in a year and I feel like its all a waste, like I just spent the past few years transcribing a phonebook while standing next to a photocopier.

I don't know if that'll ever change. I can't even pretend I was doing something prestigious and artisan like watchmaking because I wasn't a good programmer beforehand.

enoch_r 10 hours ago|||
This piece changed how I work with LLMs and made me much more optimistic about how "fun" it can be to work with them: https://nolanlawson.com/2026/05/25/using-ai-to-write-better-...

Before I would just throw prompts at the LLM and it'd end up building a pile of crap (but semi-working crap, and 100x faster than I ever could) - it was pretty depressing. Using tools like `grill-me` (or `grill-with-docs`) I feel like I'm actually building my understanding of the system and helping shape it, and the results are much better.

warmwaffles 9 hours ago||
The fun part about that `grill-me` command is that when the questions are over, I've found that I can go right into implementation without needing to dump a PRD or some sort of broken up plan. Now this is obviously completely predicated on what you are asking it to grill you on. But for tasks that are semi complicated, it's fantastic.
cavoirom 10 hours ago||||
Be your customer, write the software just for you, AI is so effective that you could do something meaningful for you just in spare tine.

Here is the similar perspective: https://isene.org/2026/05/Audience-of-One-Numbers.html

I was misunderstood you if you intend to write code by hand, I still did, I use AI to learn by example, but I write the real code myself, AI can help me improve the code. I learned a lot.

xpct 10 hours ago||||
I used to think I'll be into coding for the long haul, contributing to open source, and working on multi-year side projects.

Nearly all of that passion vanished this year, and I've been struggling to replace it. I know I'm much better than the machine now, but the lines are starting to blur, and some of the small puzzles of day-to-day have been completely automated away.

We've birthed a lot of puzzle solvers that enjoyed programming, and I'm sure many of them will move on to something else that scratches the same itch. I'm keen on learning what that will turn out to be.

fartcoin67 10 hours ago|||
I'm the opposite, couldn't be bothered to work on code outside of work. Barely did at work because I was more focused on wrangling a small army of shitty contractors (thanks strategic partner initiative for firing all of our small shop contractors and replacing them with morons from "offshore").

Now with LLMs I find myself doing small projects that interest me or have some utility for me outside of work, and doing a lot more development in the codebases at work outside of just review/docs/arch than I was before. Also making small tools that I find pleasant/useful but were not important enough to spend time on before.

foobar10000 10 hours ago||
Agreed - there was always a set of things I wanted to do that I knew the magic core for, but wanted a team of implementers for the curft, the 100k of actual testing harnesses, hyperparameter exploration, etc.. . I now have that team of implementers. All the problems seem research-y though - optimal binary transport systems that are zero-copy and compatible with languages, fast physical simulation optimizers, etc etc... So, things that all had a _LOT_ of busywork around the magic core.
flir 8 hours ago||
If money is no object, you could have it play code golf. "Make this shorter, but still pass all the tests".

This is not a serious suggestion.

crymeth0t 9 hours ago||
> I am contemplating whether I want to stay inside this rat race.

Same. I'm currently trying to find _my next thing_ and all anyone wants to talk about is how I'm using AI and it's absolutely maddening. It's become a lazy, lossy proxy for productivity. I've had a few intros for the types of orchestration engineering roles which are described in this post and they're just completely unappealing -- especially the prescriptive aspects. Like, the sort of JDs I'm seeing are variants of, "we want a back-end developer who has experience with XYZ but they must use agentic harnesses to do their work." Why does any serious person give a flying fuck how the end result is reached? The flip side of all this is that rates are also being driven through the floor by loop cowboys who are generating steaming piles of shit which are _good enough_ ... until they aren't. I'm being completely serious when I say that stocking shelves at Tractor Supply is becoming more appealing by the day and I also just thought to myself, "Maybe I should just join the Army while they'll still take me?"

abathologist 9 hours ago||
Generally interesting reflections here, yet I see the same kind of myopia and fatalism that is rampant in our (fashion) industry:

> yet I have no doubts that this looping future is going to be our future despite the fact that I presently resent it

Why would anyone concluded this? LLMs are just one kind of application of MLs to software production. There is a vast solution space for automating parts of software production. The idea that slop loops are the inevitable future because they happen to be accelerating output at the moment just seems profoundly short-sighted and lacking in vision.

Terr_ 4 hours ago||
"It is inevitable, soon all insulation will be asbestos, you have to learn the types in order to be competitive in its new future."
mohsen1 8 hours ago||
I'm really curious to see how this unfolds. It's a defining moment for us I think
sunir 7 hours ago|
Dear Abby,

I am torn. I have fallen in love with vibe coding but I still am in love with the software I’ve used for decades that works reliably.

Vibe coding gives me what I need and want right now. Its fast. Fun. Always makes me feel validated.

My older software never changes. It’s constantly telling me no. When it gets mad, it throws errors at me sometimes! But I can’t leave it. It runs my life and I know it will take care of me for years to come.

And the vibe code it’s so flaky… and expensive. It sucks up endless amount of my time, compute, and money and never gives anything back.

But it’s so fun. I tell all my friends about it and they’ve become so jealous they sought out their own vibe coder.

We’ve all found our vibe coders are a bit kinky. It’s become a social thing amongst my friends to talk about building cooler harnesses to control our vibe coders.

I don’t know what to do. My old software pays the bills but she keeps threatening to dump my ass on the curb and replace me with her own vibe coder.

I know she can’t really do it. She needs me too. And I need her.

Can we ever patch up our diffs?

— just some git with uncommitted changes

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