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From Red to Resolution: How I Used AI to Diagnose and Recommend Fixes for Flaky Tests

Introduction: The Flaky-Test Dilemma

Nothing interrupts a CI/CD pipeline quite like an intermittent test failure. Over time, these “flaky” tests erode confidence in automation and become a drag on velocity.

Industry data confirms the pain: a 2023 survey found that flaky tests account for nearly 5% of all test failures, costing organizations up to 2% of total development time each month [1]. When tests that once guarded quality instead generate noise, developers learn to ignore failures, and genuine defects can slip through unnoticed.

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