systematic-debugging

To find the root cause of a flaky test failure, you need a structured debugging methodology that enforces evidence-based investigation. This approach traces data flow through four phases: Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation.

The best way to systematically debug a production bug or performance regression is to create deterministic, fast, red-capable reproduction commands. This isolates the defect and allows you to verify hypotheses before applying a fix validated by a regression test.

A four-phase debugging methodology works by structuring troubleshooting into Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation. This eliminates guessing by requiring evidence at each step to resolve the actual technical issue.

Yes, you need terminal access for test execution and file system access for code analysis and instrumentation. These permissions are required to run reproduction commands and systematically trace data flow during the investigation process.

Your debugging process resolves symptoms instead of fixing the actual technical issue because it lacks a rigorous, evidence-based investigation process. Without systematically verifying hypotheses against reproduced failures, root causes remain unidentified and unresolved.