Earlier quoted context omitted.
I find hard problems are best solved by breaking them down into smaller, easier sub-problems. In other words, it comes down to thinking hard about which questions to ask. AI moves engineering into higher-level thinking much like compilers did to Assembly programming back in the day
> hard problems are best solved by breaking them down into smaller, easier sub-problems I'm ok doing that with a junior developer because they will learn from it and one day become my peer. LLMs don't learn from individual interactions, so I don't benefit from wasting my time attempting to teach an LLM. > much like compilers did for Assembly programming back in the day The difference is that programming in let's say…
I guessed you haven't tried Codex or Claude code in loop mode when it's debugging problems on its own until it's fixed. The Clawd guy actually talks about this in that interview I linked, many people still don't get it.