🦊 GitLab

Every enterprise already runs a software factory, but most organizations have built theirs from separate tools for coding, planning, source code control, CI/CD, security, artifact management, and deployment.

As AI agents accelerate software development, that fragmentation creates more handoffs, breaks context, and makes it harder to trace changes, govern what reaches production, or measure the impact of AI investments.

GitLab is announcing the foundation for a governed software factory to help organizations optimize software development so they can move from intent to production with greater speed, governance, and visibility.

See what’s new 🧵

A deployment token slipped into a CI file. It happens, but what you do next matters.

With Secrets Manager and Duo, you can rotate it and get a merge request ready to fix the code - all from GitLab ✨

Watch the full demo here.👇about.gitlab.com/events/transce…

See AI agent activity in one place with the GitLab AI Governance Dashboard, across Duo Agent Platform and the externally connected agents your developers use. about.gitlab.com/blog/ai-govern…

Still measuring AI progress by output alone? Dr. Mik Kersten thinks your operating model could use an update ✅ Catch his take from the Enterprise AI Summit.

Learn how to call a custom GitLab flow from Salesforce so every error arrives as a GitLab issue with root-cause analysis, ready to fix and deploy. about.gitlab.com/blog/extend-gi…