H2K Infosys explains self-healing automation in AI testing as a smarter way to maintain automated test scripts without constant manual fixes. In many modern QA automation projects, even a tiny UI change can break hundreds of test cases. Honestly, every tester has faced that frustration at least once. Self-healing automation uses AI and machine learning to automatically detect changes in application elements and repair broken locators in real time. This makes AI testing faster, more reliable, and far less maintenance-heavy. Companies using intelligent test automation tools are already seeing reduced downtime and improved release cycles, especially in fast-moving Agile and DevOps environments where applications change almost daily.
