AI is especially useful where a problem is hard to put into words: a strange log, a rare bug, an obscure piece of old code. But in debugging it’s easy to get a plausible explanation of the cause and spend an hour checking a nice but wrong hypothesis.
I use the model not as a truth detector but as a partner: I ask it to suggest several causes, name the signs of each and suggest a minimal check. This way AI speeds up the search but doesn’t replace observing the system.