goat-debug

Hypothesis-driven debugging is a structured diagnosis workflow that forces you to generate testable theories across data, logic, timing, environment, and configuration categories before making any code changes.

The best way to debug cross-component system failures is to isolate the smallest possible failing case through minimal reproduction, ensuring your fix addresses the actual root cause rather than just treating symptoms.

Performing root cause analysis in an unfamiliar codebase requires deep investigation using evidence-based verification and architectural constraint checking to rigorously identify failure origins before applying patches.

To prevent guessing during troubleshooting, enforce strict safety gates and human-in-the-loop verification steps that require evidence-based confirmation of the root cause before any fix is implemented.

You need a structured framework for code investigation when dealing with complex system failures or cross-component issues where deep investigation and rigorous root cause analysis are required to safely resolve the problem.