H2K Infosys explains autonomous software testing as the next step in intelligent QA, where AI-driven systems can create, execute, and maintain test cases with minimal human effort. Honestly, many teams are moving toward this because traditional testing slows down fast-release cycles. With autonomous testing, machine learning algorithms detect UI changes, fix broken test scripts automatically, and improve software quality in real time. Companies using AI in software testing are already seeing faster deployments and fewer production bugs. A lot of DevOps teams I’ve worked with say automated QA tools now feel less like optional add-ons and more like a survival strategy for modern application development.
