debugging-methodology

Debugging methodology uses hypothesis-driven investigation: observe symptoms, form testable hypotheses about root causes, collect observable evidence, run targeted experiments, and verify fixes. This structured approach replaces guesswork with evidence-based tracing across codebases and logs.

Root-cause analysis isolates the actual source of a bug through progressive disclosure and phase-driven investigation rather than fixing surface symptoms. It combines log analysis, hypothesis testing, and observable data collection to trace problems to their origin.

Yes. This methodology applies to bug investigations across codebases, log analysis, and structured dialogue. You form hypotheses about what logs reveal, test them against observable data, and trace errors back to root causes through evidence.

The methodology emphasizes verification: test your hypothesis experimentally, inspect relevant code, and confirm the fix eliminates the symptom at its source. Observable reporting and structured dialogue ensure you've traced the actual root cause, not treated a downstream effect.

Progressive disclosure and phase-driven workflow guide observation when reproduction is unclear. Collect observable data from available logs and code, form competing hypotheses about intermittent behavior, and design experiments that expose the root cause without requiring consistent reproduction.

The methodology integrates with code inspection tools you already use. It's a conversational, evidence-based approach—not a tool dependency—that structures your investigation process and guides observation, hypothesis formation, experimentation, and verification.