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Would you have some random bloke with ChatGPT work on and test the electrical wiring in your house? Or would you prefer someone who actually understands what they are doing? What about software that calculates expensive material requirements and cutting? What about medical software that can make decisions about your health?

It just sounds like you work on very low stakes software, probably CRUD apps if I had to guess. But software can be a lot more than. If written competently it can make decisions and do calculations that have real consequences.

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i too find lots of value in llms but your example describes a scenario a programmer could have also easily solved and maybe even had writing it correctly in the first or second shot.

that isn't to say an llm can't be useful but your post implies it's inevitable that llms will replace humans entirely from writing code, which i think is incredibly optimistic at best.

that said we will see!

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nothing foolish about trying even if he too thinks it's inevitable. it's foolish however to think that there won't be nuances of such a future (and somehow no one can influence the nuances).
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> It doesn't matter if it's slop as long as it works

I agree with most of what you said, but that statement doesn't take the time dimension into account. Slop accumulates, and eventually becomes unmanagable. We need to teach AI to become lean engineers too.

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I have only seen AI make codebases better, and I'm talking about it making some pretty nuanced changes. I think mass-rewriting of projects is possible these days with AI.
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I disagree on both fronts. Unguided AI can be a very efficient tech debt generator.
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just last week AI led a developer on our team to brick our git history when he was attempting to fix a deploy. he's not a git expert but an llm should of not led him that far astray, no?

i see on a weekly basis where if an llm was left to do what its initial direction was without human oversight it would have broken otherwise working programs

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