Developing GitLab Duo: How we are dogfooding our AI features

This post details how GitLab engineers are dogfooding GitLab Duo features, including Code Suggestions and Chat. Specific use cases highlighted include summarizing merge requests, answering coding questions, explaining code snippets, condensing comment threads, creating new documentation, crafting release notes, optimizing documentation navigation, drafting and refining OKRs, streamlining hiring communication, summarizing production incidents, creating boilerplate `.gitlab-ci.yml` files, full-stack code generation (JavaScript and Ruby), generating Python scripts for non-GitLab tasks, generating test source code for CI/CD components, streamlining research tasks by using Chat instead of multiple browser tabs, testing new features like Markdown support in Code Suggestions, and using the `/explain` feature to understand external projects. The post emphasizes the benefits of these AI features in terms of automation, time savings, improved code quality, and streamlined administrative tasks.