The privacy-first AI DevSecOps assistant for the entire software development lifecycle.
GitLab Duo is a comprehensive suite of AI-powered capabilities integrated natively into the GitLab DevSecOps platform. Built on an AI abstraction layer, it utilizes a multi-model approach (leveraging Anthropic, Google Vertex AI, and specialized local models) to assist teams throughout the planning, coding, security, and monitoring phases. Unlike standalone coding assistants, Duo provides context from the entire DevSecOps lifecycle, including issue tracking, merge requests, and security vulnerabilities. As of 2026, its market position is solidified by its 'Privacy-First' approach, ensuring that customer code is never used to train foundational models—a critical requirement for enterprise and government sectors. The platform offers two primary tiers: Duo Pro for individual developer productivity and Duo Enterprise for organizational-wide governance, security resolution, and advanced CI/CD root cause analysis. Its architecture supports cloud-connected, air-gapped, and GitLab Dedicated environments, making it a leader in the Sovereign AI movement within software engineering.
Automatically generates merge requests with patches for vulnerabilities identified by GitLab's SAST and Dependency Scanners.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses LLMs to analyze CI/CD job logs and pinpoint the exact line of code or configuration error causing pipeline failure.
Analyzes historical development velocity to predict future delivery dates and identify potential bottlenecks.
Allows Enterprise customers to connect GitLab Duo to their own hosted LLMs (e.g., via Amazon Bedrock or Azure OpenAI).
A RAG-based chat system that pulls context from documentation, issues, and specific code files within the repository.
Synthesizes hundreds of comments and code changes in a Merge Request into a high-level executive summary.
Deployment architecture ensuring data never leaves the organization's network through the GitLab AI Gateway.
New developers take weeks to understand complex, undocumented legacy systems.
Registry Updated:2/7/2026
Security teams find vulnerabilities, but developers struggle to prioritize or fix them correctly.
Complex pipeline failures in microservice architectures are difficult to trace back to specific configuration errors.