speckit-audit

To audit a Python codebase for behavioral directive compliance, you can automate the process using regex-based analysis to scan the code and generate a report of findings categorized by severity. This ensures your project adheres to its constitution.

A Python behavioral directives audit is an automated scan that checks your codebase against project governance rules outlined in the project constitution. It identifies compliance issues and reports them prioritized by severity for targeted fixes.

Yes, running a code audit for project governance requires hooks and knowledge base references to apply the regex-based analysis against the defined Python behavioral directives. These components provide the necessary rules for the scan.

You can prioritize fixes for codebase compliance issues by running an automated audit that generates a detailed report of findings categorized by severity. This allows you to address the most critical non-compliant sections first.

You should run a Python compliance audit before a code review to ensure the code adheres to the project's Python constitution. This early scan identifies potential behavioral directive issues that need to be addressed prior to merging.