ck:debug

Systematic debugging requires a four-phase framework: Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation. This approach traces bugs backward through the call stack to identify the original trigger before applying any code fixes.

Root cause tracing works by tracking bugs backward through the call stack to find the original trigger. It employs defense-in-depth validation, checking data at every layer it passes through to systematically eliminate the root cause.

Yes, Python is required to run code analysis within this debugging framework. The environment relies on Python scripts to execute the systematic investigation, validate hypotheses, and verify issue resolution before completion.

Yes, this framework handles both code-level and system-level debugging. It supports a wide range of debugging techniques and tools, managing the investigation pipeline using native tasks to track progress across complex system architectures.

The best way to verify a bug fix is through defense-in-depth validation and running verification commands. The framework mandates confirming output and validating data at every layer before claiming successful issue resolution.

Quick fixes bypass root cause analysis, leading to incomplete issue resolution and new bugs. A systematic debugging framework prevents this by enforcing hypothesis testing and defense-in-depth validation before implementing code changes.