AISDLC Code Quality Principles FAQs

Question 1

How does the skill detect TDD violations?

Accepted Answer

It scans the source directory to ensure every production file has a corresponding test file and can verify git history for 'red-green' commit patterns.

Question 2

What happens if a code violation is found?

Accepted Answer

The skill provides a detailed violation report and can be configured to block commits or suggest specific cleanup tools like 'prune-unused-code'.

Question 3

What are the 7 key principles this skill validates?

Accepted Answer

The skill checks for Test Driven Development (TDD), Fail Fast & Root Cause, Modular & Maintainable, Reuse Before Build, Open Source First, No Legacy Baggage, and Perfectionist Excellence.

Question 4

Does this skill work with languages other than Python?

Accepted Answer

While the provided examples use Python-specific tools like Radon and Black, the underlying logic uses shell commands and grep, making the principles adaptable to most programming environments.

Question 5

Can I customize the complexity and file size thresholds?

Accepted Answer

Yes, the skill is configurable via YAML, allowing you to set specific thresholds for max file lines, function lines, cyclomatic complexity, and minimum test coverage.

AISDLC Code Quality Principles

Key Features

Use Cases

AISDLC Code Quality Principles

Key Features

Use Cases