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Methodical debugging is an evidence-based investigation workflow used when standard troubleshooting fails. It enforces hypothesis testing and rigorous verification to identify root causes in multi-file codebases with complex failure modes where quick fixes do not work.

To debug a complex issue, execute a structured root-cause analysis workflow that gathers evidence, tests hypotheses, and applies explicit verification steps. This methodical approach ensures thorough verification and prevents recurring failures in multi-file codebases.

Yes, the debugging workflow supports automated domain-expertise loading and optional guidance. This provides specialized context during evidence-based diagnosis, helping you systematically identify root causes in complex or unfamiliar codebases.

The best way to verify root-cause analysis is through explicit verification steps enforced by a structured debugging workflow. This methodical approach requires evidence-based diagnosis templates and skepticism toward your own code to confirm the identified root cause before resolution.

Yes, evidence-based debugging is specifically designed for complex failure modes where standard troubleshooting fails. It activates a disciplined investigation protocol with evidence gathering, hypothesis testing, and rigorous verification to identify root causes in multi-file codebases.