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GitLab deepens its Anthropic Claude integration so organizations get access to newly released Claude models inside GitLab’s intelligent orchestration platform where governance, compliance, and auditability already run.\n\nClaude powers capabilities across GitLab Duo Agent Platform as the default model out of the box, across a variety of use cases from code generation and review to agentic chat and vulnerability resolution. If you've used GitLab Duo, you've already experienced how Duo agents automate workflows across the entire software development lifecycle (SDLC).\n\nThis accelerates the integration of Claude’s capabilities into GitLab, broadens how enterprises can deploy them, and reinforces what makes GitLab fundamentally different as a platform for software development and engineering: governance, compliance, and auditability built into every AI interaction.\n\n> \"GitLab Duo has accelerated how our teams plan, build, and ship software. The combination of Anthropic's Claude and GitLab's platform means we're getting more capable AI without changing how we work or how it is governed.\"\n>\n> – Mans Booijink, Operations Manager, Cube\n\n## The real differentiator: Governed AI\n\nWith GitLab, governance controls and auditing are built into the SDLC. When Claude suggests a code change through the GitLab Duo Agent Platform, that suggestion flows through the same merge request process, the same approval rules, the same security scanning, and the same audit trail as every other change. AI doesn't get a shortcut around your controls. It operates within them.\n\nAs GitLab moves deeper into agentic software development, where AI autonomously handles well-defined tasks, the governance layer becomes more important. An AI agent that can open a merge request, help resolve a vulnerability, or refactor a service needs to be auditable, attributable, and subject to the same policy enforcement as a human developer. That requirement is an architectural decision GitLab made from the start, and one that grows more consequential as AI agents take on broader responsibilities.\n\n## Enterprise deployment flexibility\n\nThis also expands how organizations access the latest Claude models through GitLab. Claude is available within GitLab through Google Cloud's Vertex AI and Amazon Bedrock, which means enterprises can route AI workloads through the hyperscaler commitments and cloud governance frameworks they already have in place. No separate vendor contract. No new data residency questions. Your existing Google Cloud or AWS relationship is the on-ramp. \n\nGitLab is now also available in the [Claude Marketplace](https://claude.com/platform/marketplace), allowing customers to purchase GitLab Credits and apply them toward existing Anthropic spending commitments – consolidating AI spend and simplifying how teams discover and procure GitLab alongside their Anthropic investments.\n\n## Advancing an agentic future\n\nGitLab's vision for agentic software development, where AI handles defined tasks autonomously across planning, coding, testing, securing, and deploying, requires models with strong reasoning, reliability, and safety characteristics. It also requires a platform where those autonomous actions are fully governed.\n\nAgentic workflows demand models with strong reasoning, reliability, and safety characteristics, criteria that guide how GitLab selects and integrates AI model partners. And GitLab's governance framework helps ensure that as AI agents assume more advanced development work, enterprises maintain full visibility and control over what those agents do, when they do it, and how changes are tracked.\n\n## What this means for GitLab customers\n\nIf you're already using GitLab Duo Agent Platform, you'll get access to Claude models and deeper AI assistance across your software development lifecycle, all within the governance framework you already rely on.\n\nIf you're evaluating AI-powered software development platforms, you shouldn't have to choose between advanced AI capabilities and enterprise control. This strategic integration is built to deliver both.\n\n> Want to learn more about GitLab Duo Agent Platform? [Get a demo or start a free trial today](https://about.gitlab.com/gitlab-duo-agent-platform/).",[12,701,258],"product",{},"/en-us/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development",{"config":705,"title":693,"description":694},{"noIndex":10},"en-us/blog/gitlab-and-anthropic-governed-ai-for-enterprise-development",[708,701,258],"aiml","EGtDGpm5RvNxlf3TrTcp6KN_mTjEBu0TiJPT-MMoG4E",[711,720,729,737,745,753,760,767,775],{"content":712,"config":718},{"title":713,"heroImage":714,"category":9,"description":715,"authors":716},"Meet GitLab Duo, the suite of AI capabilities powering your workflows","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749679194/Blog/Hero%20Images/duo-blog-post.png","Learn about GitLab Duo, an expanding toolbox of features integrated directly into the GitLab platform to assist DevSecOps teams.",[717],"David DeSanto, Chief Product Officer, GitLab",{"externalUrl":-1,"slug":719},"meet-gitlab-duo-the-suite-of-ai-capabilities",{"content":721,"config":727},{"title":722,"heroImage":723,"category":9,"description":724,"authors":725},"Self-managed support for Code Suggestions (Beta)","https://res.cloudinary.com/about-gitlab-com/image/upload/v1749662840/Blog/Hero%20Images/ai-experiment-stars.png","Self-managed support for Code Suggestions (Beta) is coming in GitLab 16.1.",[726],"Roger Woo",{"externalUrl":-1,"slug":728},"self-managed-support-for-code-suggestions",{"content":730,"config":735},{"title":731,"heroImage":723,"category":9,"description":732,"authors":733},"Train and deploy AI models with GitLab and Google Cloud's Vertex AI","Demo of GitLab's DevSecOps capabilities combined with Vertex AI's scalable ML platform, designed with the aim of rapid and secure AI deployments.",[734],"Regnard Raquedan",{"externalUrl":-1,"slug":736},"training-and-deploying-ai-models-with-gitlab-and-vertex-ai",{"content":738,"config":743},{"title":739,"heroImage":723,"category":9,"description":740,"authors":741},"ML experiment: Extending Code Suggestions to more development environments","Learn how GitLab is experimenting with extending Code Suggestions to Visual Studio, JetBrains IDE, Neovim, and other environments in our ongoing 'AI/ML in DevSecOps' series.",[742],"Kai Armstrong",{"externalUrl":-1,"slug":744},"extending-code-suggestions",{"content":746,"config":751},{"title":747,"heroImage":723,"category":9,"description":748,"authors":749},"How Code Suggestions can supercharge developers' daily productivity","Learn how you can use GitLab Code Suggestions to accelerate your development.",[750],"Neha Khalwadekar",{"externalUrl":-1,"slug":752},"code-suggestions-improves-developer-productivity",{"content":754,"config":758},{"title":755,"heroImage":723,"category":9,"description":756,"authors":757},"ML experiment: Summarize my merge request review","Learn how GitLab is experimenting with ML-powered merge request review summaries in this latest installment of our ongoing 'AI/ML in DevSecOps' series.",[742],{"externalUrl":-1,"slug":759},"summarize-my-merge-request-review",{"content":761,"config":765},{"title":762,"heroImage":723,"category":9,"description":763,"authors":764},"Code Suggestions available to all GitLab tiers while in Beta","All users can acess Code Suggestions AI-assisted feature while it is in Beta.",[750],{"externalUrl":-1,"slug":766},"code-suggestions-for-all-during-beta",{"content":768,"config":773},{"title":769,"heroImage":723,"category":9,"description":770,"authors":771},"Track ML model experiments with new GitLab MLFlow integration","Track the many versions of your machine learning models on GitLab using the MLFlow client.",[772],"Eduardo Bonet",{"externalUrl":-1,"slug":774},"track-machine-learning-model-experiments",{"content":776,"config":781},{"title":777,"heroImage":723,"category":9,"description":778,"authors":779},"ML experiment: Use a chatbot to answer how-to questions","Learn how GitLab is experimenting with a docs chatbot that you can ask product questions in this latest installment of our ongoing 'AI/ML in DevSecOps' series.",[780],"Sarah Waldner",{"externalUrl":-1,"slug":782},"gitlab-chat-ai",1777576657658]