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this post was submitted on 07 Mar 2026
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Speak for yourself, I always did that and I found it easier with LLMs nowadays.
I hate most AI shite with a passion but when it helps my colleagues write commits which are more than "add stuff", "fix some things" I'm fine with it.
I rarely use AI to generate code, usually only when I need a starting point. It's much easier to unfuck AI code than to stare blankly at a screen for an hour. I'd never commit code I don't fully understand or have read to the last byte.
I hope OP is doing the same. LLMs fail at 90% of coding tasks for me but for the other 10% (mostly writing tests, readmes, boilerplate) it's really OK for productivity.
Ethics of LLMs aside, if you use them for exactly what they're built for – being a supercharged glorified autocomplete – they're cool. As soon as you try to use them for something else like "autocompletion from zero" aka "creativity", they fail spectacularly.