What problem does it solve?
Diagnose hard bugs and performance regressions by turning vague failures into a measurable, repeatable signal so you can reliably narrow to root cause.
Core Features & Use Cases
- Build a feedback loop first: create a fast deterministic pass/fail signal via tests, scripts, CLI fixtures, headless replay, harnesses, fuzzing, bisection, or differential runs.
- Reproduce before hypothesizing: confirm the failure mode matches the user’s report and is repeatable (or reproducible at a usable rate).
- Rank falsifiable hypotheses and test predictions: generate 3–5 ranked, prediction-driven hypotheses, then instrument changes one variable at a time.
- Fix with regression coverage: write a regression test before the fix when a correct seam exists, then re-run the original feedback loop to ensure the symptom is truly resolved.
- Cleanup and post-mortem: remove tagged debug instrumentation, delete throwaway prototypes, and document the effective cause and what would have prevented the bug.
Quick Start
Diagnose the reported issue by constructing a fast feedback loop that reliably reproduces the exact symptom, then iterate through reproduce, ranked falsifiable hypotheses, targeted instrumentation, and a regression test.