debug-phase

Systematic debugging follows a structured workflow: reproduce the error consistently, classify it by type, isolate the root cause using techniques like the 5 Whys method, implement a targeted fix, write regression tests, and document the resolution. This approach prevents recurring bugs and reduces wasted development time.

Root cause analysis uncovers the underlying reason for an error, not just its symptoms. The 5 Whys technique asks "why" repeatedly—typically five times—to trace from the observed failure back to its origin. For example, a timeout error traces back through slow response times to missing pagination parameters.

After fixing a bug, document it in a standardized error log, create regression tests that catch the same failure, and add defensive code to guard against similar issues. This ensures the bug doesn't recur and creates institutional knowledge for your team.

Yes. This debugging approach applies to errors across all environments—development, staging, and production. It requires reproducible error reproduction, access to logs and traces, and the ability to implement fixes and tests in your target environment.

The debugging workflow integrates with Python, Node.js, pytest for testing, git for version control, and requests for API troubleshooting. These dependencies support error reproduction, test generation, and documentation of fixes across your codebase.

Classify errors by type (e.g., Integration, Timeout, Logic) and document them in a standardized error-log.md file with root cause, fix applied, tests added, and prevention steps. This standardization makes past incidents searchable and helps avoid repeating similar mistakes.