GitLab team member here. Tutorials are available in the docs [1] and this extensive blog tutorial [2]. Specific use cases with help from Agentic AI are discussed in this guide/whitepaper: "CI/CD modernization: Break down barriers with agentic AI" [3]

In my experience learning and leveraging AI and LLMs in the past 2 years, GitLab Duo understands CI/CD configuration very well and can help with migration questions, tasks, and plans, or with actions where Duo Agentic Chat even analyzes and edits files in the IDE.

If you are using GitLab Duo Agent Platform (currently in Beta), there is also a specific Flow that helps convert a Jenkins CI into a GitLab CI/CD configuration. [4] This was released in 18.3, a demo video is inside the release post [5] (demo project here [6]). You can also find the Agentic AI use case in my GitLab DACH Roadshow talk slides [7].

[1] https://docs.gitlab.com/ci/migration/jenkins/

[2] https://about.gitlab.com/blog/jenkins-to-gitlab-migration-ma...

[3] https://about.gitlab.com/the-source/ai/cicd-modernization-br...

[4] https://docs.gitlab.com/user/duo_agent_platform/flows/conver...

[5] https://about.gitlab.com/blog/gitlab-18-3-expanding-ai-orche...

[6] https://gitlab.com/gitlab-da/use-cases/ai/gitlab-duo-agent-p...

[7] https://docs.google.com/presentation/d/e/2PACX-1vTX-DcBV9Rw6...