The takeaway

Debugging with AI is not about knowing the answer. It's about running a disciplined process: reproduce, gather context, hypothesize, confirm with logging, bisect, and fix the root cause — then understand the fix well enough to keep it honestly. Your job as the director is to keep the investigation grounded in evidence and to recognize when the loop has gone stale. Do that, and most bugs stop being mysteries and start being just another step in building real software.