How does AI testing improve software quality and reduce manual effort?

AI testing improves software quality by using machine learning and intelligent automation to analyze code, identify risk areas, and generate optimized test cases. It enhances test coverage and accelerates bug detection by automatically executing and maintaining tests based on code changes and historical data. Tasks like regression testing, test data generation, and visual validations are streamlined with AI, reducing the time and manual effort typically required. This enables teams to detect defects early, release faster, and maintain consistent quality across agile development cycles.