Automation
Understanding Flaky Tests
A practical framework for identifying and eliminating instability in automated test pipelines.
What makes a test flaky
Flaky tests fail intermittently due to timing issues, dynamic data, unstable dependencies, or brittle selectors. These failures reduce trust in automation and slow delivery teams.
Detection and remediation
AI Test Harness identifies flaky signatures by clustering execution evidence across retries and environments. The self-healing agent proposes fixes and validates them before rollout.
Preventing recurrence
Adopt policy rules for deterministic data setup, explicit wait strategies, and environment health validation before test execution starts.