[gls2ro]

This is not like that.

This is literally they saying they are letting their LLM run wild(ish) and seeing the status.claude.com we can see the result.

This is a case where the outcome is the direct result of the engineering practices like the ones they describe.

PS: Yes I use Claude, Coded, Amp and Cursor agents every day so I am not saying here LLMs are not valuable.

LE: They did not made claims that "AI is good" they made claims that developers/computer engineers are not needed anymore in the near future. Thats is a stronger claim and has a direct relation with a product they have which needs computer engineering (yes infra counts too) and which seems to be down more than we expect as a good quality bar.

[brookst]

You just said "it's not the 'must be veganism' thing, it's the 'must be veganism thing'"

Unless you have inside knowledge of their infra ops and management tools, it is just guessing and blaming veganism. For all we know it could be tools from Nvidia or anyone else failing under massive load.

It could be the veganism. Some things are. Leaping to it as the only possible explanation for every ailment is exactly the fallacy.

[gls2ro]

No. We dont need metaphors like that with veganism (which touches ideologies also) when talking about engineering and a company that promotes out loud that engineering is done.

I have not stated anything. I just replied to a metaphor which is not needed cause here we talk about engineering problems handled by engineers in a tech company. I give you something else where this line of thought could be wrong: culture beats (and destroys) engineering practices unless regulated by law. In this case yes this is not because of LLMs but because of company culture.

Still hard to know where the line draws because Anthropic talks about solving computer science for good as in humans need not apply.

[brookst]

If you're really committed to the "no difference between datacenter hardware engineering and claude code harness engineering, they must all use the same practices, anything true for one is true for the other" bit, fair enough. It seems fairly ideological to me.

[gls2ro]

It feels to me that you are really trying hard to brainstorm root causes for their failures.

Could be a hardware issue, could be a datacenter issue. Could be anything. So it could also be a software issue right?

This is not ideology. This is talking about root causes and I replied to someone that started saying this is not because of them promoting and using LLMs to the maximum. Could be it is not because of that. But it could be because of LLMs.

Keeping a company accountable when they try to sell a service that will replace engineers is not ideology. Ideology will be to not use any company that uses LLMs. But pointing out the disconnect between the public discourse and the status.claude.com is a simple idea.

Can you tell me that all those red lines there are infra?

[hombre_fatal]

But it is like that. You have zero insight into the infrastructure issue. And the person quoted above is a Claude Code developer. So because this guy uses Claude generously to build Claude Code, then Anthropic's API scaling issues must necessarily be caused by his agent loops even though scaling issues plague every tech company, no less often pre-AI.

The issue is that it's a thought-terminating cliche, and it would be nice to have one place on the internet that isn't just who can post one the fastest with the most glee to the giddy seal-clapping of the audience.

[gls2ro]

Engineering practices or best practices are much more than writing code.

So not sure what we are debating here: I see first hand companies jumping full on using LLM for _everything_ for the last 6 months (of course Anthropic longer) and without guardrails and good engineering practices the number of incidents, downtime is increasing.

Look at status.claude.com - Anthropic could at any point come out and say all those are due to third party providers.

I am also not saying here Anthropic is worse than other scaleups. But they do something different: they come in front of us and tell us they have better engineering practices.

[hombre_fatal]

> Anthropic could at any point come out and say all those are due to third party providers.

Why can't it be simply the case that Anthropic is struggling by their own accord? Infra scaling isn't a solved problem, much less with new, complicated, ever-changing, stateful LLM requests.

Pretty much every API-service-centric company I've worked at was in some constant state of either triaging or thinking about infrastructure health, often due to the familiar cascading problems of a necessarily distributed system.

But now with the AI scapegoat, we rewrite history to pretend us humans solved infra scaling, so any issues today must be caused by AI and any related superstitions we want to tack on.

[gls2ro]

> Why can't it be simply the case that Anthropic is struggling by their own accord?

They can and it is normal. I have said it is normal for scaleups specifically at a similarity growth rate.

What we (or at least I) critique here is coming out in the world and announcing that coding is done while having a product that has a status page full with red stripes. Yes, could be infrastructure, could be third party integrations could be a lot. But a lot of what is there is software. And yes, some parts is hardware. Unless the root cause is culture. In that case as I mentioned in another comment there I give them that: LLMs cannot solve culture.

Again the difference here is that the other scale-ups with similar _scaling_ issues are not talking about how we should all just use LLMs for everything and that learning to code is not required anymore.

So I am not saying the real issue is not infra or integration with third parties. What I am pointing at is: "don't talk that you don't need engineering while you - yourself - have engineering problems that need engineering solutions and still have not solve them".

Also you are getting out of your way to brainstorm possible root causes that will let them get away with this cognitive dissonance (or is there a better them in communication). Let them do the explanation and defend their position as they are the ones attacking the computer science engineering.

[hombre_fatal]

> Again the difference here is that the other scale-ups with similar _scaling_ issues are not talking about how we should all just use LLMs for everything and that learning to code is not required anymore.

> Let them do the explanation and defend their position as they are the ones attacking the computer science engineering.

This once again boils back down into: because they make claims about LLMs being good, I get to make any claim I want, and if if they didn't want me to make my claim, they shouldn't have made theirs.

It seems reactionary rather than earnest.

You've accused me and someone else of "brainstorming" reasons why they might have infra scaling issues, but I'm not. I'm pointing out that everyone has them especially pre-AI, and all of those reasons are on the table, not less likely. You have done the opposite: committed to a suspicion. That is the end result of the thought-terminating cliche.

[MontyCarloHall]

Another data point: GitHub is extremely insistent its employees maximally use AI for internal development [0], and we’ve concomitantly seen its reliability fall off a cliff in the last year or so.

[0] https://github.com/resources/insights/ai-powered-workforce-p...

[yodon]

>GitHub is extremely insistent its employees maximally use AI for internal development

Or it could be that GitHub saw a 14x increase in commit volume last year[0], and we've concomitantly seen its reliability fall of a cliff in the last year or so. Given that Microsoft is leasing additional space on AWS(!)[1] to handle the additional commit volume, my personal money is on commit volume growth being a bigger issue than internal use of AI.

Internal use of AI may have been an issue. Commit volume growth may have been an issue. Unless one has direct knowledge of their infrastructure issues, claiming to know is quite literally making exactly the "they are vegan, their illness must be caused by their veganism" argument the GP commenter was talking about.

[0]https://daringfireball.net/linked/2026/05/04/commits-on-gith...

[1]https://www.businessinsider.com/microsoft-github-amazon-ai-c...