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Showing posts with the label Test Maintenance

Self-Healing Tests and Beyond — Building Resilient Automation with AI

Self-Healing Tests and Beyond — Building Resilient Automation with AI Self-Healing Tests and Beyond — Building Resilient Automation with AI How AI can stop your test suite from becoming a maintenance nightmare — practical patterns, research evidence, case studies, and a roadmap for adopting self-healing automation. Abstract Automation promised freedom from repetitive manual checks. Instead many teams got a new job: maintaining brittle test scripts. A small CSS change, renamed API field, or timing difference can turn a green pipeline into a red alert parade. Self-healing tests, powered by AI, offer a different path. They detect when tests break, reason about intent, and adapt — sometimes automatically — so pipelines stay useful rather than noisy. This article explores the idea end-to-end: what self-healing means, how it works, evidence it helps, tool opt...