Flaky tests — those that pass and fail without any code change — waste developer time and erode trust in CI pipelines. In this episode, Lucas and Luna explore why treating flaky tests as purely a code bug misses the real problem: team culture, test ownership, and prioritization. They walk through a typical scenario at a mid-size SaaS company where a flaky API mock causes intermittent failures. Lucas explains how root-cause analysis often reveals test design issues rather than logic errors, and why the best fix is often to delete the test, not debug it. Luna pushes back on the idea that deletion is lazy, and they discuss practical strategies: quarantining flaky tests, setting a team-wide flakiness budget, and using test impact analysis to separate real failures from noise. The episode ends with a forward-looking question about whether AI will solve flakiness or just mask it. Packed with concrete examples and no jargon.

#FlakyTests #TestFlakiness #CI #ContinuousIntegration #TestAutomation #TestOwnership #TestDebt #SoftwareTesting #QA #DevOps #EngineeringCulture #TestPrioritization #Quarantine #FlakinessBudget #RootCauseAnalysis #TechPodcast #FexingoBusiness #BusinessPodcast

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