I still nitpick it to death. If anything, I have more opportunities to nitpick code. LLM code is usually filthy: terrible abstractions, no care for complexity,

I still nitpick it to death. If anything, I have more opportunities to nitpick code. LLM code is usually filthy: terrible abstractions, no care for complexity, cohesion, and coupling metrics. Debugging with LLMs is also a mixed experience; they can identify plenty of hypotheses very well, thanks to millions of dollars spent in RL, but they lack a more profound understanding of causal chains. They will try to change more than one thing at a time, even when doing so will completely invalidate the experiment; they will get into bizarre loops and weird tangents. They can help a lot, but if you want to have good results, it is way better if you strongly take control of the steering wheel. LLMs are basically the average developer, although with way more breadth. But still not much depth.