Automating with GitLab Duo, Part 2: Complex testing

The article discusses the lessons learned from using GitLab Duo for automated test generation in a software development project. It highlights the importance of understanding the underlying frameworks and code, as well as the desired end state and standards. The team encountered situations where they needed to update existing test cases, create tests for legacy code, ensure generated code follows their standards, and address uncovered test cases. They also learned that GitLab Duo is not a replacement for all tests and that human oversight is still necessary. The article emphasizes the value of prompt engineering and the need for adequate oversight of AI-generated code to ensure quality and adherence to standards.