What problem does it solve?
This Skill helps you reliably find the root cause of hard bugs and performance regressions by turning a vague failure into a repeatable, falsifiable debugging process.
Core Features & Use Cases
- Disciplined feedback loop: Build an aggressive repro signal so you can iterate quickly (from failing tests to replayed traces).
- Structured investigation: Reproduce, then generate 3–5 ranked, falsifiable hypotheses before testing any of them.
- Targeted instrumentation and regression safety: Add the minimum probes needed to distinguish hypotheses, then fix and lock in a regression test where a correct seam exists.
- Performance-focused measurement: Establish a baseline measurement and prefer bisecting over noisy logging when speed is the issue.
Quick Start
Ask the AI to diagnose the bug and drive a loop that reproduces the failure, ranks falsifiable hypotheses, instruments the code with targeted probes, then implements the fix and verifies it with regression testing.