Systematic Debugging FAQs

Question 1

What happens if three or more fix attempts fail?

Accepted Answer

The skill mandates a stop to the fixing process to question the system architecture. It flags the pattern as potentially unsound, prompting a discussion about refactoring rather than continuing to apply ineffective patches.

Question 2

Is this skill compatible with Test-Driven Development (TDD)?

Accepted Answer

Yes, Phase 4 explicitly requires creating a failing test case that reproduces the bug before implementing a fix, making it a perfect companion for TDD workflows and automated verification.

Question 3

Why is systematic debugging faster than 'quick fixes'?

Accepted Answer

By eliminating guess-and-check 'thrashing,' systematic debugging achieves a higher first-time fix rate (approx. 95%) and prevents the introduction of new bugs, reducing the total time spent on rework.

Question 4

What is the 'Iron Law' of this debugging skill?

Accepted Answer

The Iron Law dictates that no fixes can be proposed or implemented until a full root cause investigation is completed. This prevents 'symptom fixing' which often masks underlying issues and leads to more bugs.

Question 5

How does this skill handle multi-component systems?

Accepted Answer

It uses diagnostic instrumentation at every component boundary to log data entry/exit and verify environment propagation, allowing the AI to identify exactly where the failure occurs before investigating that specific component.

Systematic Debugging

主な機能

ユースケース

Systematic Debugging

主な機能

ユースケース