investigate

Root-cause debugging is a systematic workflow that collects symptoms, traces code paths, and validates evidence-based hypotheses to isolate the true source of software issues rather than applying superficial fixes.

Start by collecting all observable symptoms and stack traces, then trace the code paths involved to form a root-cause hypothesis. Reproduce the steps systematically to validate potential causes before implementing any fix.

The best way to analyze a stack trace is following a disciplined investigation workflow that enforces collecting evidence, reading code, and testing hypotheses against the trace data to ensure you address the real cause.

Yes, a structured debugging workflow applies to errors, stack traces, flaky behavior, and regressions. It guides you through symptom collection, code tracing, and evidence-based hypothesis testing to resolve complex regressions.

Applying fixes without finding the root cause often leads to recurring issues. The Iron Law of structured debugging enforces no fixes without root cause, ensuring that corrections address the actual underlying problem.

The phases of a systematic troubleshooting workflow are investigate, analyze, hypothesize, and implement. This enforces a disciplined approach with defined checks and decision points to ensure fixes resolve the real cause.