flaky-test-detective

To diagnose flaky tests caused by timing issues and shared state, use the detection script to run multiple test iterations. It identifies root causes across unit, integration, and end-to-end tests by analyzing test instability patterns.

The best way to stabilize flaky tests in a CI pipeline is applying stabilization guidelines for deterministic data and API mocking. It also provides CI monitoring tips to revert to stable baselines and track flaky trends.

Your test suite fails intermittently during CI runs due to root causes like timing issues, shared state, randomness, and network dependencies. Running a detection script across multiple iterations surfaces these specific flaky scenarios.

Yes, you can use API mocking to fix flaky tests with network dependencies. The stabilization guidelines recommend using API mocking alongside proper wait strategies and test isolation to ensure deterministic test results.

You detect flaky tests across multiple test iterations by running the dedicated detection script. It gathers results from repeated test executions to surface inconsistencies, providing auto-fix patterns for common flaky scenarios.