debug-like-expert

Evidence-based debugging is a methodology that enforces structured data gathering, falsifiable hypotheses, and minimal-change experiments. Use it for complex, multi-step bugs across codebases where isolating the root cause and robust verification are strictly required.

Debug complex multi-step bugs by iteratively collecting structured evidence, formulating falsifiable hypotheses, and running minimal-change experiments. This methodology isolates the root cause across environments without guesswork, ensuring fixes are proven through thorough regression verification.

Yes, hypothesis-driven investigation adapts to any codebase by loading domain context and best practices on demand. It structures troubleshooting through explicit evidence collection and verifiable experiments, reducing guesswork and increasing confidence before shipping fixes.

The best way to verify a bug fix is through thorough regression verification that proves the root cause is resolved. This methodology enforces minimal-change experiments and evidence collection to ensure fixes are durable and do not introduce new issues.

Debugging relies on guesswork when it lacks an observability-first methodology. By enforcing explicit evidence collection and falsifiable hypotheses, you shift from guessing to proving, ensuring the actual root cause is identified rather than applying quick, unverified fixes.