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…
> If he's not the person to test, iterate, and deliver quality with AI, he probably wouldn't be without it 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…
I just yesterday had an agent produce a prototype that appeared to work and that looked plausibly well engineered, except I knew from experience that what it had done should be doable with a tenth of the codebase.
Someone without experience might've just accepted that prototype. It took one prompt to get it turned into a reasonable MVP, but you'd need to know what to ask, and you'd need to know you needed to ask.