AI testing is moving beyond self-healing scripts. Closed-loop quality engineering connects requirements, code changes, defects, production incidents, user behavior, and release outcomes to improve test coverage and release decisions continuously. With human oversight and governance, enterprises can build an adaptive quality system that strengthens confidence in every release.
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