Ensuring application quality through comprehensive testing can be a challenge, leading to time-consuming manual processes, inconsistent test coverage, and issues slipping through the cracks. GitLab Duo with Amazon Q can help transform the QA process by automatically generating comprehensive unit tests for code using agentic AI. This AI-powered capability accelerates the quality assurance workflow, allowing developers to focus on other tasks. To use GitLab Duo with Amazon Q, developers select a Java class in a merge request, invoke Amazon Q with a quick action command, and let the AI analyze the code and generate tests. The AI examines the code's structure, logic, and purpose to determine what tests are needed, and generates comprehensive unit test coverage within moments. The generated tests follow the project's existing patterns and conventions, ensuring seamless integration with the codebase. By automating the test generation process, GitLab Duo with Amazon Q ensures optimal code coverage, consistent testing standards, and detects issues before deployment. This feature significantly reduces time spent writing unit tests, maintains consistent testing quality, and accelerates development velocity. To learn more, developers can visit the GitLab and AWS partner page for detailed information and access agentic AI guides and resources. By getting started with GitLab Duo with Amazon Q, developers can transform their quality assurance process and maintain high-quality applications.