investigate

Root-cause debugging is a phase-based investigation process used to identify the underlying source of ambiguous errors or failing configurations before applying fixes, preventing patchwork solutions. You need it when automated tests pass but user issues persist or errors are unclear.

To find the root cause of a bug when tests pass, describe the observed error, provide reproduction steps, and define expected behavior. A structured workflow then guides you through investigation, analysis, and hypothesis phases to isolate discrepancies across code, scripts, and runtime telemetry.

Yes, a phase-based debugging workflow applies cross-domain to configuration files, scripts, and application code. It guides evidence gathering and reproducibility checks across different runtime environments, ensuring root causes are identified regardless of the specific technology stack involved.

The best way to prevent patchwork fixes is to follow a structured, phase-driven workflow that emphasizes evidence gathering and hypothesis testing before implementation. By logging each step and prompting for specific investigative questions, you ensure the actual root cause is addressed.

A structured investigation workflow handles ambiguous runtime errors by driving through sequential phases: investigating telemetry, analyzing evidence, and forming hypotheses. It proactively prompts you to gather reproducibility steps and logs, ensuring ambiguous issues are systematically narrowed down before fixes are implemented.