A flaky test is a test that randomly passes or fails without any code changes, usually due to timing issues, unstable environments, or unreliable mocks.
In CI/CD pipelines, flaky tests cause false failures, slow down deployments, and reduce confidence in automation.
Common examples include async UI tests, race conditions, and API tests with brittle test data.
Tools like Keploy help eliminate flakiness by generating deterministic tests and mocks from real production traffic, ensuring consistent test results.
In CI/CD pipelines, flaky tests cause false failures, slow down deployments, and reduce confidence in automation.
Common examples include async UI tests, race conditions, and API tests with brittle test data.
Tools like Keploy help eliminate flakiness by generating deterministic tests and mocks from real production traffic, ensuring consistent test results.