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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...

Visual Testing with AI: Smarter than Pixel Matching Visual Testing with AI: Smarter than Pixel Matching Practical, human-centred guidance on moving from brittle pixel diffs to perception-driven visual testing — with research evidence, real case studies, tool guidance, prompts, and an adoption checklist. Abstract Visual correctness is one of the most under-appreciated dimensions of product quality. Unit tests and integration tests prove that code works; visual tests prove that people can use it. For years teams relied on pixel-by-pixel screenshot diffs to guard the UI. The result was mountains of false positives, developer fatigue, and missed user-impacting issues. Today, perceptual visual testing powered by AI provides a better signal: it understands components, spatial relationships, and usability impact. This article is a practical synthesis ...

Autonomous Testing with AI Agents: The Future of QA Imagine a release day where QA is not the bottleneck. The build is green, feature flags are set, and the pipeline hums along—because testing isn't waiting on humans to run scripts. Instead, intelligent agents have already learned the app's flows, executed hundreds of scenarios overnight, and surfaced only the high-confidence issues that truly need human judgment. Why testing still feels broken If you've been in software for more than a few sprints, you've seen the cycle: new features land, automated scripts break, and testers rewrite brittle tests. Manual regression becomes a time sink. Releases slip. Stakeholders lose confidence. The labor of maintaining scripted automation often overshadows the work of exploring real product risk. What are autonomous testing agent...