guided-experience-service-parallel-tests

Run parallel pytest tests by coordinating dedicated workers for unit and integration suites, capturing separate results to validate broad repository coverage and prepare actionable debugging insights.

Diagnose failing integration tests by following a guided failure analysis workflow that investigates root causes, checks missing prerequisites, and flags suspicious failures for reliable validation reporting.

Yes, you need uv to execute the test commands, as the parallel testing workflow requires uv-based test execution to coordinate workers and run the unit and integration suites.

Parallel worker coordination assigns dedicated workers to run unit and integration test suites simultaneously using repository-specific pytest commands, capturing separate results to streamline failure analysis.

Integration tests fail when missing prerequisites are not resolved, requiring a post-run failure investigation workflow to identify environment checks and missing setup steps for reliable execution.

Yes, the workflow applies to repository validation requiring broad test coverage, executing both unit and integration test suites in parallel and guiding technical analysis for any failures.