Flaky Tests – How to Get Rid of Them

Automated testing has become essential in modern software development for verifying code, catching regressions early, and expediting release cycles, yet flaky tests remain a persistent challenge. These tests, which unpredictably pass or fail without code changes, undermine trust in automated test suites by adding randomness, making it difficult to distinguish actual defects from noise. Flakiness often stems from non-deterministic test design, environmental variability, shared test state, and external dependencies rather than random bad luck. While completely eliminating flaky tests is unrealistic, reducing them to a negligible level is crucial. Automatic retries can obscure underlying instability, worsening the problem over time. Effective strategies involve designing tests that focus on observable behavior, maintaining a balanced test pyramid, and employing AI-driven automation tools like testRigor, which reduce flakiness by removing brittle selectors and timing assumptions. Organizational factors and traditional automation tools can exacerbate flakiness, while intent-driven, AI-powered approaches offer a path to more stable and reliable testing, restoring trust and efficiency in CI/CD pipelines.