GitLab Duo
GitLab Duo is an AI agent platform covering the entire software lifecycle. It integrates agents for planning, coding, security and deployment, and comes with enterprise-grade governance and self-hosted models, making it suitable for teams already using GitLab.
Updated: 2026-10-26
What is GitLab Duo?
GitLab Duo is an AI agent platform launched by GitLab, officially positioned as "AI orchestration covering the entire software lifecycle". It integrates professional agents for planning, coding, security, deployment and other aspects into a single catalog, and is equipped with enterprise-level governance. It is suitable for teams already using GitLab to integrate AI into their existing R&D processes, rather than building a new set of tools for assembly.
Who is it for?
- Large and medium-sized R&D teams that already use GitLab for code hosting and CI/CD.
- Security and compliance roles that need to integrate security scanning and compliance checks into the pipeline.
- Engineering managers who want to use AI to automatically handle code reviews and fix CI failures.
- Enterprise IT and platform engineering teams that have requirements for data residency and self-hosting.
- Technical managers who want to first assess their team's AI application maturity and then plan the pace of adoption.
Key features
10Specialized Agents
Expert-level agents that are out-of-the-box and customizable to organizational standards, covering the entire workflow from planning to deployment.
Single Capability Catalog
Centralizes capabilities such as planning, coding, security, and deployment for unified orchestration and capability discovery.
Agent Workflow
Automates complex tasks while retaining manual approval checkpoints at key nodes to control risks.
Enterprise Governance
Policy-driven AI control, fully traceable records, and self-hostable models to facilitate compliance.
Two-way MCP Integration
Two-way integration with MCP-compatible tools to connect with existing R&D systems and avoid information silos.
GitLab Orbit
Officially described as the context layer for agents, it connects code and requirement backgrounds to ensure decisions are well-founded.
In-Place Triggering
The official description states that agents are triggered at the existing work locations, keeping the workflow unchanged and only adding approval checkpoints at key nodes.
Model Selection
The official states that you can choose the most suitable model to drive different agents throughout the process.
Evolvable Architecture
The platform is designed to grow with you and support the continuous expansion of usage scenarios.
Scalable and Flexible
The official statement says the platform itself is scalable and can be flexibly adapted to the existing R&D system.
How to use GitLab Duo
- 1Start with a pilot of a low-risk agent (such as PR review), confirm the reliability of the output before granting more permissions.
- 2Use policy-driven controls to define the repositories and branches that AI can modify, preventing unauthorized changes to the main branch.
- 3Configure self-hosted models and audit logs in conjunction with internal compliance requirements, and review the official documentation before official launch.
- 4Agent capabilities are adjusted with version updates; verify the official documentation again before commercial deployment or large-scale rollout.
- 5You can first use the AI maturity score provided on the official website to assess your current situation, and then decide the pilot order and investment.
Traffic & popularity
Data month Sep 2026
GitLab Duo receives about 4.8M visits per month.
Monthly visits
12 monthsTraffic sources
- Search44.9%
- Direct40.9%
- Referrals5.5%
- Social4.8%
- Mail1.8%
- Other2.2%
Top countries
- India17.6%
- United States14.4%
- France5.6%
- Germany5.4%
- Indonesia3.9%
Estimated from third-party traffic data.
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