GitLab Duo CLI Headless Mode: Automate AI Workflows & Code Fixes

Automate your development workflows and resolve code issues faster with GitLab Duo CLI Headless Mode. In this video, Fernando Diaz explains how Headless Mode enables the GitLab Duo agent to execute tasks autonomously, making it perfect for scripts and CI/CD pipelines. See a real-world demonstration of the agent fixing lint errors automatically and learn how to integrate this power directly into your GitLab CI/CD environment. Unlike Interactive Mode, which functions as a back-and-forth chat, Headless Mode uses a specific goal flag to run the agent without manual confirmation prompts. This allows for a "set it and forget it" approach to routine tasks like assigning reviewers to merge requests or refactoring files based on linter output. Fernando also walks through the security best practices, such as setting up masked personal access tokens, to ensure your automated AI workflows remain secure. Key takeaways: * Headless vs. Interactive Mode: Understanding the difference between driving the AI and letting it work for you. * Automated Lint Fixing: Watch the agent read ESLint output and apply fixes across multiple files. * CI/CD Integration: How to use the .gitlab-ci.yml file to trigger AI fixes on every failed lint job. * Best Practices: Tips on sandboxing, goal precision, and managing authentication tokens. Documentation: For installation instructions and more details, visit the official GitLab Duo CLI documentation: https://docs.gitlab.com/user/gitlab_duo_cli/ Timestamps 0:00 - Introduction 0:21 - GitLab Duo CLI Interactive Mode Example 1:01 - GitLab Duo CLI Headless Mode Example 1:42 - Generating a Personal Access Token 2:12 - Headless mode in local bash script 3:48 - Headless mode in CI/CD pipeline 5:29 - Headless mode tips and tricks 6:04 - Conclusion #GitLab #AIAutomation #DevSecOps