GitLab for platform engineering
The control plane for the agentic software lifecycle
Unify context, workflows, and guardrails for teams and agents across the SDLC.
Traditional DevSecOps is not designed for agent-paced innovation
Platform engineering now means scaling the backend for many teams, many projects, and hundreds of agents per developer. One platform for all three modes of work - manual, agentic assist and autonomous loops - moves teams faster across the enterprise, without losing control.
Each developer can run hundreds of agents against shared backends. Without machine-scale source control, unified context, and policy that keeps up, platform teams become the bottleneck for teams and projects.
I was looking to free up the hands of my DevOps engineers … I wanted them to focus on the things that actually matter — how we produce code, how we properly deploy code. We could do that with a platform.
Nadav Robas
DevOps & DevSecOps Manager , Agoda
Read the case study Context, security, and governance
Source control and delivery that absorb the load
Agentic workflows across the SDLC
Slide 1 of 3
We were spending too much time and budget procuring and supporting our toolchain, which had grown to 12 tools. We needed to minimize toolchain maintenance and support as much as possible so our teams could focus on actually creating new feature delivery.
20%
boost in deployments year over year
30%
of vulnerabilities found earlier in the software development lifecycle
20%
boost in deployments year over year
30%
of vulnerabilities found earlier in the software development lifecycle