quality-coverage

Identify untested code paths by running a coverage audit that analyzes your pytest test suite, ranks uncovered code by risk severity, and documents per-file coverage gaps. This surfaces critical blind spots impacting core modules.

Prioritizing test coverage gaps by risk involves evaluating blast radius and failure severity for uncovered code paths. This maximizes safety with minimal effort by focusing test authoring on critical, high-risk core modules first.

Yes, you can apply pytest and coverage tooling to the entire test suite to audit untested paths. The audit scans core modules, backends, and guardrails to surface high-risk gaps and generate a baseline coverage page.

Generate a baseline coverage audit report by running an audit that documents per-file coverage findings and untested paths. This baseline tracks progress over time and guides future targeted test authoring cycles.

Test coverage auditing works by scanning the entire codebase to surface uncovered code paths across core modules, backends, and guardrails. It ranks these gaps by risk to prioritize targeted test creation efficiently.