Get started with GitLab Duo Agent Platform: The complete guide (opens in new tab)

The GitLab Duo Agent Platform represents a shift in AI-assisted development by moving from individual chat-based interactions to a collaborative multi-agent orchestration layer. By integrating specialized AI agents throughout the software development lifecycle, the platform transforms linear DevSecOps workflows into parallel processes that leverage full project context for tasks like security scanning and code refactoring. This architecture allows development teams to delegate routine technical burdens to autonomous agents, focusing human efforts on high-level innovation and complex problem-solving.

Orchestrating the DevSecOps Lifecycle

The platform functions as a central intelligence layer that connects AI agents to the broader GitLab ecosystem.

• Agents access comprehensive project context, including source code management, CI/CD pipelines, issue tracking, and security scan results.
• Specialized agents can be assigned to specific technical domains such as research, refactoring, and automated testing.
• The system enables asynchronous collaboration, allowing multiple agents to work on different stages of a project simultaneously.

Evolution from Duo Enterprise to Agentic AI

The Duo Agent Platform is a superset of previous GitLab AI offerings, moving beyond simple 1:1 user-to-AI interactions.

• GitLab Duo Pro focused on individual IDE productivity through code suggestions and basic chat.
• GitLab Duo Enterprise expanded AI to the wider software lifecycle but remained primarily a 1:1 Q&A experience.
• The Agent Platform introduces a many-to-many collaboration model where teams and multiple specialized agents interact autonomously to handle production-ready workflows.

Advanced Integration and Customization

To support enterprise-grade automation, the platform provides a roadmap for scaling AI from basic interactions to production environments.

• Integration with the Model Context Protocol (MCP) allows for expanded data access and agent capabilities.
• The platform supports a progression from initial agent interactions to full workflow customization and production-ready automation.
• Developers can leverage the eight-part guide series to move from foundational concepts to advanced technical implementations.

To maximize the benefits of agentic AI, organizations should transition from viewing AI as a simple Q&A tool to treating it as an orchestration layer. Teams are encouraged to explore the complete introductory series to begin delegating routine maintenance and security tasks to specialized agents, thereby accelerating overall delivery speed.