[{"data":1,"prerenderedAt":1016},["ShallowReactive",2],{"/blog/gitlab-duo-cli":3,"navigation-en-us":236,"banner-en-us":664,"footer-en-us":674,"blog-post-authors-en-us-John Coghlan":919,"blog-related-posts-en-us-gitlab-duo-cli":934,"blog-promotions-en-us":953,"next-steps-en-us":1006},{"id":4,"title":5,"authors":6,"body":8,"category":216,"date":217,"description":218,"extension":219,"externalUrl":220,"faq":220,"featured":221,"heroImage":222,"meta":223,"navigation":221,"path":224,"seo":225,"slug":229,"stem":230,"tags":231,"template":234,"updatedDate":220,"__hash__":235},"blogPosts/en-us/blog/gitlab-duo-cli.md","GitLab Duo CLI: Agentic AI for the development lifecycle, now in the terminal",[7],"John Coghlan",{"type":9,"value":10,"toc":208},"minimark",[11,15,25,30,33,44,47,62,66,74,77,80,84,87,90,107,111,114,134,158,161,170,174,178,185,193],[12,13,14],"p",{},"Debugging a broken pipeline at the end of a sprint, or wiring AI into a CI/CD workflow that runs without anyone watching, is exactly where today's AI assistants fall short given their focus on coding – which is only a portion of the software lifecycle. 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