Developing GitLab Duo: How we are dogfooding our AI features

What this post added

This post details how GitLab engineers are dogfooding GitLab Duo features, including Code Suggestions and Chat. It provides specific examples of how these AI capabilities are used to streamline workflows such as summarizing merge requests and comment threads, creating documentation and release notes, drafting OKRs, summarizing production incidents, generating boilerplate `.gitlab-ci.yml` files, generating Python scripts, and generating test source code. It also highlights the use of `/explain` for understanding external codebases and testing new features like Markdown support in Code Suggestions. The post emphasizes the benefits of automation, reduced documentation time, higher quality code, and streamlined administrative tasks.