How AI is used in software testing?

AI is widely used in software testing to improve test accuracy, speed, and coverage across modern applications. It helps teams automate repetitive test cases, predict defect-prone areas using historical data, and generate smart test scenarios. AI-powered tools support visual testing, self-healing automation scripts, and intelligent bug detection. In real-world projects, AI assists in regression testing, performance monitoring, and root cause analysis. It also enables continuous testing in DevOps pipelines by analyzing code changes and prioritizing test execution. As systems become more complex, AI helps testers focus more on strategy, exploratory testing, and quality engineering instead of manual validation tasks.