troubleshooting

To find the root cause of a runtime exception, use a hypothesis-driven workflow that collects error messages and stack traces, applies refutation-first tests, and traces 5 Whys with evidence to isolate the failure scope. It distinguishes direct causes from deeper root causes.

The best way to debug intermittent failures is through systematic isolation using log analysis and divide-and-conquer tactics. This approach inspects relevant logs to verify hypotheses, narrowing the failure scope without guesswork.

To identify when a regression was introduced, use git bisect to perform systematic isolation across code changes. This method divides the timeline to narrow failure scope and verify the exact commit causing the software error.

Yes, you can use structured troubleshooting for UI and display issues in production environments. It diagnoses software errors through evidence-based verification, applying hypothesis-driven tests to identify root causes and propose actionable fixes.

To start an incident response investigation, provide error messages, stack traces, logs, reproduction steps, and recent changes. This guided information collection drives the hypothesis loop and evidence tracking to generate a reproducible debug report.