systematic-debugging

Systematic debugging is a four-phase workflow for uncovering root causes of bugs. It requires documenting evidence and reproductions, forming a minimal hypothesis, and validating fixes through controlled experiments to prevent regressions.

To debug a failing test systematically, follow four phases: Root Cause Investigation, Pattern Analysis, Hypothesis & Testing, and Implementation. Gather logs, reproduce the failure deterministically, form a minimal hypothesis, and verify the fix with a failing test written via TDD.

Yes, the systematic debugging approach applies to any technical issue including production bugs, build failures, and performance problems. It defines a workflow that helps teams gather evidence, reproduce issues, and validate fixes before deployment.

The best way to validate a fix is through controlled experiments and regression checks. When possible, write a failing test using TDD to confirm the hypothesis and ensure the fix prevents future regressions.

To create a minimal hypothesis during systematic debugging, first observe the issue, gather logs, and reproduce the failure deterministically. Then form a targeted hypothesis and test it with specific changes to validate the root cause.