GitLab 18.7: Advancing AI automation, governance, and developer experience
GitLab 18.7 adds new automation, pipeline controls, and policy updates to help teams reduce manual work, simplify processes, and deliver safer releases.
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GitLab 18.7 adds new automation, pipeline controls, and policy updates to help teams reduce manual work, simplify processes, and deliver safer releases.
Author: Bill StaplesRead Post
Learn how to carry out the full migration from Azure DevOps to GitLab using GitLab Professional Services migration tools — from planning and execution to post-migration follow-up tasks.

Follow this guide to learn about stronger controls around pipeline customization, including how to implement explicit declarations, type safety, and validation.

Learn how to simplify complex CI/CD pipelines with these best practices for sharing data in more modular pipeline setups.

Learn how we reduced API calls on GitLab's CI job status updates from 45 million to 3.4 million calls per day. Users now see job status changes instantly instead of waiting up to 30 seconds.

Learn about our new GitLab Duo AI feature that automates tasks by breaking down complex problems and executing operations across multiple sources.

Uncover breakthroughs from this AI development showcase that combined Google Cloud, MongoDB, and GitLab.

Learn how CI/CD inputs provide type-safe parameter passing with validation, replacing error-prone variables for more reliable pipelines.
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