"You should judge PRs based on code quality not the fact i used LLMs" okay but if a construction worker closes their eyes and starts flailing their arms while holding hammers and says "you should judge my skill based on the nails i hit" you rightfully move aside and stop them before they knock someone unconscious
@SharpLimefox since when did we stop caring about the outcome when its about getting stuff done? As long as the person can exain everything and its an actually good PR?
@nicole4fox @SharpLimefox I can give you several reasons: 1) copyright: 1a) LLM output is not copyrightable (in the US for one), so you also can't license it, 1b) the training data can leak into the produced code, so you might open yourself up to copyright and/or license infringement by accepting it into your project, 2) LLMs produce seemingly high quality output, while being either subtly or outright wrong, the seemingly high quality makes it mentally *harder* to detect this (more review time).