Gitlab Orbit

Teams rely on GitLab to plan, build, secure, and operate complex multi service applications, but context is often fragmented across repositories, CI pipelines, and security tools, which slows incident response, increases risk, and makes it harder to trust automation with real work. GitLab Orbit unifies that lifecycle data into a software system graph that spans issues, merge requests, pipelines, deployments, vulnerabilities, incidents, ownership, and production signals as first party data GitLab already captures, so teams can see exactly what changed, where it flowed, and who owns it in a single place instead of stitching answers together by hand. By modeling these relationships as a continuously updated graph, Orbit turns GitLab into a connected system of record that shortens investigations, reduces operational toil, and improves confidence in both human and agent driven changes. For AI agents, Orbit acts as a purpose built context engine so agents run targeted graph queries instead of chaining multiple tools and APIs, which produces more accurate answers while reducing token and infrastructure overhead for every interaction. The same graph powers the Orbit Data Explorer, where engineers can trace any change from commit to pipeline to deployment to production impact in a single view, so they can answer what changed and why in minutes rather than hours. Security teams use Orbit to understand blast radius for vulnerabilities and move faster from detection to remediation, DevOps and platform teams use it to catch downstream impact before a change ships, and leaders gain lifecycle native metrics tied directly to real GitLab activity, which improves delivery predictability and reduces the risk of surprise failures in production, all inside a single DevSecOps platform.