Blog features

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Unlocking AI for every GitLab Premium and Ultimate customer GitLab Premium and Ultimate now include GitLab Duo essentials for creating and understanding code throughout the software development lifecycle, all at no additional cost. Author: David DeSanto, Chief Product Officer, GitLab Read Post
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Automate tedious coding tasks with GitLab Duo Workflow

See how agentic AI can reduce time spent on repetitive tasks, freeing you up to focus on developing innovative solutions and shipping the next big thing.

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How to use GitLab's Custom Compliance Frameworks in your DevSecOps environment

Explore how new frameworks, along with more than 50 out-of-the-box controls, transform regulatory requirements from burdensome checkboxes to integrated, automated workflow components.

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Introducing Custom Compliance Frameworks in GitLab

Reduce manual tracking, accelerate audit readiness, and enforce controls faster natively within GitLab DevSecOps workflows.

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GitLab Duo with Amazon Q: Agentic AI optimized for AWS generally available

The comprehensive AI-powered DevSecOps platform combined with the deepest set of cloud computing capabilities speeds dev cycles, increases automation, and improves code quality.

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Use GitLab Duo Workflow to improve application quality assurance

Learn step-by-step how to add unit tests to a Java application using agentic AI (includes a video tutorial).

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SAFe without silos in GitLab

Learn how to map the Scaled Agile Framework to the native capabilities of the DevSecOps platform and the advantages that come from doing so.

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Secure and safe login and commits with GitLab + Yubico

Learn how GitLab and Yubico have partnered to strengthen software development security through robust authentication measures.

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More granular product usage insights for GitLab Self-Managed and Dedicated

Learn how event-level data helps GitLab improve the DevSecOps platform. Opt-out option is always available.

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The GitLab AI Security Framework for security leaders

Discover how GitLab Duo's security controls, third-party integrations, and retention policies help teams safely implement AI into their development workflow.

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