Announcing general availability for GitLab Duo Agent Platform (opens in new tab)

The GitLab Duo Agent Platform has reached general availability, marking a shift from basic AI code assistance to comprehensive agentic automation across the entire software development lifecycle. By orchestrating intelligent agents to handle complex tasks like security analysis and planning, the platform aims to resolve the "AI paradox" where faster code generation often creates downstream bottlenecks in review and deployment.

Usage-Based Economy via GitLab Credits

• GitLab is introducing "GitLab Credits," a virtual currency used to power the platform’s usage-based AI features.
• Premium and Ultimate subscribers receive monthly credits ($12 and $24 respectively) at no additional cost to facilitate immediate adoption.
• Organizations can manage a shared pool of credits or opt for on-demand monthly billing, with existing Duo Enterprise contracts eligible for conversion into credits.

Agentic Chat and Contextual Orchestration

• The Duo Agentic Chat provides a unified experience across the GitLab Web UI and various IDEs, including VS Code, JetBrains, Cursor, and Windsurf.
• The chat utilizes multi-step reasoning to perform actions autonomously, drawing from the context of issues, merge requests, pipelines, and security findings.
• Capabilities extend beyond code generation to include infrastructure-as-code (IaC) creation, pipeline troubleshooting, and explaining vulnerability reachability.

Specialized Foundational and Custom Agents

• Foundational Agents: Pre-built specialists designed for specific roles, such as the Planner Agent for breaking down work and the Security Analyst Agent for triaging vulnerabilities.
• Custom Agents: Developed through a central AI Catalog, these allow teams to build and share agents that adhere to organization-specific engineering standards and guardrails.
• External Agents: Native integration of third-party AI tools, such as Anthropic’s Claude Code and OpenAI’s Codex CLI, provides access to external LLM capabilities within the governed GitLab environment.

Automated End-to-End Flows

• The platform introduces "Flows," which are multi-step agentic sequences designed to automate repeatable transitions in the development cycle.
• The "Issue to Merge Request" flow builds structured code changes directly from defined requirements to jumpstart development.
• Specialized CI/CD flows help teams modernize pipeline configurations and automatically analyze and suggest fixes for failed pipeline runs.
• The Code Review flow streamlines the feedback loop by providing AI-native analysis of merge request comments and code changes.

To maximize the impact of agentic AI, organizations should move beyond basic chat interactions and begin integrating these specialized agents into their broader orchestration workflows to eliminate manual handoffs between planning, coding, and security.