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submitted 1 week ago* (last edited 1 week ago) by rimu@piefed.social to c/programming@programming.dev

studies show a clear trend – output is up (more code, more commits, bigger diffs), but outcomes don’t reflect that trend. If anything, the average team is taking longer to ship worse software

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[-] ell1e@leminal.space 14 points 6 days ago* (last edited 6 days ago)

This doesn't seem to cover there is also no LLM that doesn't plagiarize, or where the training data appears to be compatible with such behavior (e.g. CC0). Now I don't know what that means legally, but morally it seems to be tossing away other project's licensing and I think for FOSS as a whole that's no good.

Also something worth reiterating: https://machinelearning.apple.com/research/illusion-of-thinking LLMs apparently can't do basic logical reasoning. Even a junior coder can do that. I'm always surprised anybody would let LLMs near their code, at all.

I recommed you reading this

It summarizes really good not only the moral, but also the legal problems of AI, vibecoding and "AI-assisted/AI-boosted" programming/engineering/development.

this post was submitted on 13 Aug 2026
139 points (100.0% liked)

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