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GitLab

Turn multi-step software delivery into agentic flows you can trust GitLab Duo Security Review spots logic flaws scanners miss Forrester Consulting: GitLab Duo Agent Platform delivers 400% ROI GitLab 19.2 release notes | GitLab Docs When a version bump breaks your build, GitLab fixes it Green DevOps: Why carbon measurement belongs in your CI/CD pipeline GitLab Patch Release: 19.1.2, 19.0.4, 18.11.7 How we used AI agents to migrate GitLab rate limiting Keep your GitLab seats in check with restricted access GitLab Patch Release: 18.8.11 | GitLab Docs Claude Sonnet 5 on GitLab: More reliable, more efficient What Google Antigravity agents get full context with GitLab Orbit GitLab Patch Release: 19.1.1, 19.0.3, 18.11.6 GitLab 19.1 release notes | GitLab Docs AI Catalog updates for governance and operations One vulnerability view: From scanner coverage to AI governance GitLab named a Leader in the 2026 Gartner® Magic Quadrant™ for DevSecOps Platforms GitLab and Capgemini accelerate DevSecOps transformation Introducing the 2026 EMEA GitLab Partner Award winners GitLab Patch Release: 19.0.2, 18.11.5, 18.10.8 Introducing GitLab Orbit GitLab Flex: Commit once, reshape your seats and AI spend GitLab: Built for the agentic engineering era GitLab on Google Cloud: Fully managed, compliant, and AI-ready Shai-Hulud copycat campaign targets Python developers through PyPI typosquatting Mythos-class Claude Fable 5 arrives on GitLab Duo Agent Platform GitLab Patch Release: 19.0.1, 18.11.4, 18.10.7 Claude Opus 4.8 on GitLab: Complex agentic work, less disruption Agentic coding is only as good as its context GitLab Patch Release: 18.9.8, 18.8.10, 18.7.7, 18.6.8, 18.5.7 Full security scanner coverage of your codebase in minutes Reduce supply chain risk with SBOM-based dependency scanning Transform MRs from manual tasks to an automated workflow Track CI component usage across your organization Manage CI/CD credentials with GitLab Secrets Manager More AI models for GitLab Duo Agent Platform Self-Hosted GitLab 19.0 | GitLab Docs GitLab Dedicated for Government now GovRAMP-authorized Beyond BYOK: Why governance matters for AI agents Fix bugs with Codex and GitLab 5 ways to fix misleading vulnerability severities with policy Harden your pipeline perimeter for the era of AI-assisted coding GitLab Patch Release: 18.11.3, 18.10.6, 18.9.7 GitLab Act 2 Consolidate your GitLab stack with Gitaly on Kubernetes Limit token exposure with fine-grained PATs Automate deployment processes with GitLab Duo Agent Platform Claude Code and GitLab: Three workflows that ship 8 Agentic AI patterns reshaping team collaboration How to detect and prevent Contagious Interview IDE attacks Atlassian will train on your data: Opt out with GitLab Automate detection testing with GitLab CI/CD and Duo
Bring GitLab Duo Agent Platform to your terminal
Ozer Dondurmacioglu · 2026-07-16 · via GitLab

Most of the work for software delivery doesn’t happen only in the editor. Pipelines fail. Tests break. Vulnerabilities show up. And a lot of that work starts and ends at the command line.

Agentic AI in the terminal that only understands code can’t help with any of that. A standalone assistant doesn’t know your agents across the entire software lifecycle, your permissions across many projects in your organization, or a specific project context you’ve already set up in GitLab.

That’s what changes in GitLab 19.2. GitLab Duo CLI is generally available, and it brings GitLab Duo Agentic Chat straight into your terminal. Unlike tools bolted on from the outside, it already knows your project, your pipelines, and your agent setup. You can use it interactively when you’re exploring and building, or headless when you want it running in a job or script.

As a result, developers stay in the shell where the failure showed up, and their work continues across the terminal, the UI, and your editor. Platform teams govern rollout like everything else on GitLab, and agentic help finally covers more of the delivery lifecycle than “write this function.”

Why agentic AI in the terminal stopped at code

Agentic tools matured first where demos look best: editing files. The lifecycle after the commit is messier and more operational. When the failure is a pipeline, a dependency, or a CI config, context lives in GitLab — not in a coding agent’s training set or local context.

Teams that tried to bridge that gap with generic CLI assistants paid another cost: no shared admin control, no MCP/setup diagnostics aligned with the platform, and no single identity model with the rest of the agentic software lifecycle. Agentic work in the terminal stayed stuck on coding, instead of helping across the rest of delivery.

What teams get when Duo CLI is generally available

  • Stay in the terminal for the work that already lives there. Dig into how the codebase fits together, build and refactor, chase down pipeline failures, tidy up CI/CD, and knock out multi-step tasks — without jumping to the browser for every answer.
  • Pick up where you left off, on any surface. Sessions are shared across the GitLab Duo CLI, the GitLab UI, and editor extensions. Start in the browser. Continue in your shell. Same conversation.
  • Plan first, then build. Interactive mode works like Agentic Chat: Plan mode looks around without changing anything, build mode makes the changes. Need it unattended? Headless mode drops into CI jobs and scripts.
  • Turn it on when you’re ready. Duo CLI works on GitLab.com, GitLab Self-Managed, and GitLab Dedicated. On Self-Managed and Dedicated, admins can switch instance access on or off. Anywhere you use it, developers can run /doctor to check their setup and /mcp to see their MCP configuration.

See GitLab Duo CLI in action:

How Duo CLI works

The easiest path is through the GitLab CLI: Run glab duo cli and glab handles authentication for you. You can also install and run duo as a standalone tool with a personal access token. Both setups support the same modes and capabilities.

  • Interactive mode — chat in the terminal, and approve tools before anything runs. Explore the codebase, plan a fix, then switch to build mode when you’re ready to make changes.
  • Headless mode — non-interactive execution for runners, scripts, and automation. Use glab duo cli run --goal or duo run --goal.

For instance, when a pipeline fails, ask from the same shell:

      $ glab duo cli
> The pipelines in MR 23 are failing. Please help me fix them.

    

Duo CLI looks at what’s going on, figures out what went wrong, and proposes changes you can review before applying. It follows your custom instructions (chat-rules.md, AGENTS.md, SKILL.md) as you scale, and you can extend its interactive sessions with custom slash commands.

Start using Duo CLI today

Head over to the GitLab Duo CLI documentation to install and authenticate — and if you already use the GitLab CLI, start with glab duo cli.

New to GitLab? Start a free trial of GitLab Duo Agent Platform. Already on Premium or Ultimate? Turn on Duo Agent Platform and use the GitLab Credits included with your subscription.