Debugging workflows
A repeatable loop for reproduction steps, hypotheses, instrumentation, patch notes, and final verification.
Takeaway
AI is most useful in debugging when it keeps the reproduction, hypothesis, evidence, and verification separated.
01
Write the reproduction first
Start with exact steps, input data, expected behavior, actual behavior, and the smallest command or route that reproduces the problem. The assistant can reason better when the failing path is concrete.
02
List competing hypotheses
Ask for two or three plausible causes and the fastest observation that would distinguish them. This prevents chasing the first confident explanation.
03
Close the loop
After the fix, record what changed, which hypothesis won, what commands passed, and which user flow was checked manually. That note improves the next debugging session.