What problem does it solve?
It helps you systematically diagnose hard bugs and performance regressions instead of guessing, so you can reliably reach the root cause.
Core Features & Use Cases
- Feedback-loop first diagnosis: builds a fast, deterministic pass/fail signal and iterates on it until the bug is debuggable.
- Reproduce → hypothesize → instrument → fix: runs the structured phases to narrow causes using falsifiable predictions and targeted probes.
- Regression safety: turns the minimized repro into a failing regression test (when a correct seam exists) to prevent backsliding.
Quick Start
Run the diagnose loop for the failing bug by first constructing a deterministic repro signal (test, HTTP script, CLI fixture, trace replay, or harness) and then iterating through reproduce, ranked falsifiable hypotheses, targeted instrumentation, and a verified fix with cleanup.