Doesn't sound like AI is necessarily the root the problem. If he's not the person to test, iterate, and deliver quality with AI, he probably wouldn't be without it. You just figured it out sooner. Or, if you have reason to believe he's got what it takes - treat it like an leaving opportunity, give him room to make mistakes. This is, ime, what a rookie AI user mistake looks like. It is easy to get carried away by the…
I see the take quite often on HN, and I have a major gripe with it. Yes, people were lazy and we had these problems before LLMs hit the scene, but clearly there has been a sea-change in both the frequency and degree of this behaviour since.
A problem can both exist independent of a catalyst and be exacerbated by it. Arguments that try to window-dress this away are not particularly productive.