Automating with GitLab Duo, Part 2: Complex testing

What this post added

This post details practical lessons learned from using GitLab Duo for complex test generation. It covers strategies for updating existing test cases (e.g., refactoring to use unittest), creating tests for legacy code by providing error snippets, handling complex or abstracted code by providing examples and requesting modifications one at a time, ensuring generated code adheres to standards through specific refactoring prompts, and leveraging AI to uncover and address new test cases, thereby increasing test coverage. Key takeaways highlight the importance of prompt engineering, understanding underlying code and frameworks, defining desired end states and standards, and acknowledging that AI-generated tests augment, but do not replace, traditional testing methodologies.