systematic-debugging

Root cause analysis is a disciplined debugging process that requires investigating symptoms before implementing fixes. This Skill enforces an Iron Law against guessing by guiding developers through a formal Investigate, Analyze, Hypothesize, and Implement workflow to reduce regression risk.

To debug failing tests without regressions, follow a structured debugging workflow that gates fixes behind root-cause verification. This process tracks session context and generates a hypothesis first, ensuring your code changes target the actual defect rather than just masking the symptoms.

Investigating unexpected runtime behavior requires a multi-phase approach: detect the environment, track session context, and analyze the failing behavior to form a root-cause hypothesis. This structured workflow auto-advances progress to ensure traceable and repeatable resolutions.

Yes, you can apply this systematic debugging process across any software development project. It is designed to handle failing tests, runtime bugs, and unexpected behavior by enforcing a consistent, formal workflow regardless of the specific environment or tech stack.

Fixing bugs without root-cause investigation increases regression risk because the underlying defect remains unaddressed. A systematic debugging approach enforces gatekeeping across its four phases, ensuring you verify the root cause before implementing any code changes.

To maintain debugging context across multiple sessions, use a process that provides environment detection and structured status reporting. This ensures your bug triage and investigation remain traceable, allowing you to resume the hypothesis and implementation workflow without losing progress.