test-audit

To audit test quality across multiple languages, you evaluate codebases written in Python, JS/TS, and Go for coverage gaps, mutation resilience, and test pyramid balance. The audit generates structured documentation and a Findings JSON to guide improvements.

A test pyramid balance evaluation checks the distribution of your tests alongside statement and branch coverage, mutation scores, flakiness, and AAA structure. This identifies gaps in your test suite to guide refactoring and tooling decisions.

Yes, you can integrate mutation and coverage analyses within CI pipelines. The approach is tooling- and language-agnostic, allowing you to connect with existing coverage and mutation runners to automate test quality checks.

You generate actionable reports by running a full test audit across your codebase. The process outputs structured audit documents under the docs/audit directory and a Findings JSON file detailing coverage, mutation scores, and flakiness.

Yes, the test audit works for multi-language codebases specifically including Python, JS/TS, and Go. It applies a tooling-agnostic approach to evaluate coverage, mutation resilience, and naming conventions across these environments.