Enterprises choose GitLab for speed with control

Continuous flow instead of context switching

Give teams everything they need to deliver software and manage AI agents in one place so they can stay in continuous flow and avoid context switching and manual handoffs.

Integrated AI and multi-agent workflows across the SDLC

Move beyond individual AI coding assistants to team-level agentic workflows where multiple agents work in parallel with your engineering teams to tackle complex tasks across the entire software development lifecycle.

Automated pipelines that eliminate manual handoffs

GitLab's CI/CD is built directly into the platform, not bolted on as a separate tool. With customizable pipelines, reusable components from the CI/CD catalog, and AI-powered optimization that can automatically fix failing pipelines, teams coordinate complex multi-stage deployments with full visibility and control.

Built-in enterprise Agile planning

Organizations need software and product planning to be integrated with the rest of the development lifecycle versus treated like a siloed activity. GitLab's Enterprise Agile Delivery is built into the same DevSecOps platform that development, security, and operations teams use to develop and deploy software, creating a more efficient experience and improving time to market.

GitLab unifies context across the entire software development lifecycle in one semantic data layer, so your team members and AI agents have a single source of truth.

GitLab Orbit connects your code, merge requests, pipelines, and deployments into one queryable graph that every agent reads from. Instead of loading raw files into context windows and inferring relationships, agents traverse a pre-indexed graph of how your software system actually works. Every agent reasons from the same first-party context, whether it's GitLab Duo at zero rate, a third-party agent connected through Model Context Protocol, or a developer querying in natural language.