1natsu-pair-debug

Pair debugging combines human observation with AI-driven hypothesis testing to investigate runtime issues. You walk through observable evidence with the AI to identify root causes when inspecting code alone fails.

AI-assisted pair debugging is a structured workflow where you provide observable evidence and the AI generates hypotheses. It enforces explicit observations, minimal instrumentation, and a defined end-of-session protocol to finalize root cause resolution.

Tell the AI to initiate pair debugging and walk through observable evidence together. The workflow applies minimal instrumentation via // [PAIR-DEBUG] markers to collect evidence without altering program behavior.

Use hypothesis testing for debugging when user-reported issues require hands-on validation across code bases and runtime contexts. It coordinates human investigation with AI analysis to validate suspected environment-specific behavior.

Pair debugging uses minimal instrumentation via // [PAIR-DEBUG] markers to collect evidence without altering program behavior. This structured observation approach ensures you can validate hypotheses safely during the debugging session.

The best way to finalize debugging is using a defined end-of-session protocol. Pair debugging enforces this structured workflow to finalize confirmation and resolution after generating and testing hypotheses from observable evidence.