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submitted 1 day ago* (last edited 22 hours ago) by hushable@lemmy.world to c/fuck_ai@lemmy.world

small rant incoming

I work for a company that it's mostly hardware focused, but we do ship some software for the final consumer including drivers and programs, to make use of said hardware.

While I am not in the software department, I held some SWE positions in previous companies for over a decade, our software isn't very complex and I do know most of it pretty well.

Our employee just announced a new AI-only development cycle, they want all code submissions and reviews to be exclusively done by claude, effectively ending ownership of the code being shipped to customers. This is absolute madness.

Today, I received an email scheduling a workshop on how to integrate claude into vscode and how to work with the new gitflow, namely removing our authorship from commits and having al code reviews done by a LLM now.

I am just baffled at the decision.

edit: wow I'm a bit overwhelmed by the response, I did read all of you. Thanks!

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[-] fizzle@quokk.au 33 points 1 day ago

There was another similar post not that long ago.

Manager says "we don't touch code any more, we only tell claude what to do". Part of the thinking is that claude will improve as you teach it.

There's a lot of hype and hyperbole from both sides. Managers thinking claude can replace entire teams and commentary saying it can't explain how to tie your shoes.

I haven't used claude itself so I just don't know, but things like Mistral and other models available on huggingface just aren't in this kind of league.

I feel like the atrophy of cognitive function and high level skills is the other side of the AI-in-the-workplace coin. It just seems obvious to me, and I'm sure to any professional, that they wouldn't have developed their skill if they didn't... develop their skill. You can't really develop coding skills by looking at what claude did.

[-] vivi@slrpnk.net 23 points 1 day ago

Part of the thinking is that claude will improve as you teach it.

This is just a complete misunderstanding (by the manager) of how LLMs work. Sure, they probably log conversations as training data for a new model, but session to session, it does not improve from talking to it. The model is fixed. There are strategies which boil down to having the LLM write a diary of things it should "remember" which it subsequently has to reread when relaunching, but those suffer from fundamental limits, only so much can be stored before it runs out of context.

It's so frustrating how much imaginative thinking and anthropomorphization is applied to these tools...

[-] JoMiran@lemmy.ml 6 points 1 day ago

We have tried them all. The only model that gets remotely close, IMHO, is Claude Mythos/Fable, and even then it is definitely not "hands off". It is also crazy expensive and very slow.

[-] Serinus@lemmy.world 5 points 1 day ago

It's great if you could have found the answer on Stack Overflow and applied it to your code. It's legitimately useful if there are easy (but maybe tedious) ways to accomplish your goal.

It's terrible if you get too vague or what you're doing isn't common. It's worse than terrible if you can't tell or refuse to believe when it's useless.

It's here to stay. It'll likely replace the concept of ORMs, and it'll kill the need for a lot of third party tools.

It's not going to replace many workers. If it were used responsibly, it'd just make people's jobs a bit easier and make software generally more polished and complete. Instead it's going to bury those projects that use it responsibly in AI slop projects.

this post was submitted on 13 Jul 2026
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