audit-codebase

You can perform a read-only source-code analysis to classify modules, identify information leakage, and analyze test-surface gaps. This read-only mode evaluates your architecture's structural health and flags findings without modifying any existing code.

Yes, you can automatically apply suggested fixes to flagged findings by running the architecture review in fix mode. This mode restructures deep modules and addresses information leakage to actively improve your codebase's maintainability.

Module depth and information hiding in source-code analysis refer to how much implementation detail a module conceals versus how much it exposes. Evaluating these metrics during a codebase audit helps ensure your architecture follows best practices for long-term maintainability.

Yes, this codebase audit tool supports Python source-code analysis by using built-in tools to classify modules and evaluate architecture quality. It is designed for engineering teams needing to ensure their Python codebase follows strict structural best practices.

You should run a codebase health check for architecture quality when preparing for a major refactoring effort or during regular architecture reviews. This source-code analysis identifies maintainability issues like high code complexity and test-surface gaps before they impact performance.