Systematic Debugging

About

Systematic Debugging provides a structured framework for resolving technical issues by mandating a root-cause-first approach. It moves developers away from inefficient 'guess-and-check' workflows by requiring evidence gathering, pattern analysis, and minimal hypothesis testing before any production code is altered. This skill is particularly effective for multi-component systems, elusive test failures, and deep architectural issues where quick patches often fail, ensuring that fixes are permanent and do not introduce regressions.

Key Features

• 0 GitHub stars
• Strict hypothesis testing methodology to verify assumptions with minimal code changes
• Pattern analysis tools to compare failing code against known working reference implementations
• Mandatory root cause investigation phase before any code modification is permitted
• Diagnostic instrumentation for tracing data flow across complex multi-component boundaries
• Architectural red-flag detection to identify when systemic refactoring is required over simple fixes

Use Cases

• Identifying the source of intermittent or non-deterministic test failures in CI/CD pipelines
• Tracing data corruption or state issues through multiple microservices and API layers
• Resolving recurring 'voodoo' bugs where previous superficial fix attempts have consistently failed