What problem does it solve?
It helps you systematically diagnose hard bugs and performance regressions by turning vague symptoms into a reliable feedback loop that reveals the root cause.
Core Features & Use Cases
- Build a deterministic feedback loop: creates pass/fail signals via failing tests, HTTP/CLI scripts, browser automation, trace replay, or bisection harnesses.
- Reproduce before theorizing: verifies the failure matches the user-described symptom and is reproducible (or reproducible at a debuggable rate for flaky issues).
- Generate falsifiable hypotheses: produces 3–5 ranked, testable predictions before making changes.
- Instrument with controlled experiments: probes one variable at a time using targeted debugger/logging, with a cleanup discipline.
- Fix with regression protection: writes a regression test before the fix when a correct test seam exists, then re-runs the original loop and removes instrumentation.
Quick Start
Ask your agent to diagnose this by running a reproducible loop: reproduce the reported failure, generate falsifiable hypotheses, instrument targeted probes, apply the fix, and verify the original scenario with a regression test.