The increasing use of Generative AI coding tools in enterprise development has led to a rise in code changes, putting pressure on test automation pipelines to ensure quality and detect issues early. As code changes become more frequent and complex, understanding test coverage becomes more challenging, making it essential to have effective tools to manage risks related to AI-driven code changes. UI Coverage is a valuable tool that provides insights into test suites, allowing developers to understand which parts of their application are covered by automated tests, identify missing coverage, and optimize testing efforts by detecting redundant tests and tracking interactions with UI elements. By leveraging UI Coverage, teams can maintain high-quality test coverage, even as code changes accelerate, and make informed decisions about testing priorities, ultimately ensuring the stability and consistency of their applications. The use of AI-powered test generation and UI Coverage can help teams keep up with the pace of change, identify areas that require more manual testing, and prioritize restoration of skipped or quarantined tests, thereby maintaining the overall quality and reliability of their software.