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AI/ML
Solving complex challenges with GitLab Duo Workflow
Learn how a member of the GitLab Customer Success Management team uses agentic AI for real-world problem-solving, including addressing Helm chart limits in the package registry.
AI/ML
Speed meets governance: Model Selection comes to GitLab Duo
Duo Model Selection provides LLM control for each GitLab Duo feature, enabling organizations to adopt AI while meeting strict governance and compliance standards.
AI/ML
Speed up code reviews: Let AI handle the feedback implementation
Discover how GitLab Duo with Amazon Q automates the implementation of code review feedback through AI, transforming a time-consuming manual process into a streamlined workflow.
AI/ML
Streamline DevSecOps engineering workflows with GitLab Duo
Learn all the ways GitLab Duo's AI capabilities can improve the efficiency of development workflows. Includes in-depth tutorials and demos.
Product
Streamline enterprise artifact management with GitLab
Platform teams can spend $200K+ annually managing fragmented artifact systems. Learn about GitLab's strategic approach to consolidation.
Product
Streamline migrations with user contribution and membership mapping
New GitLab feature enhances project imports, allowing post-import user contribution mapping and greater flexibility and control.
AI/ML
ML experiment: Summarizing issue comments
Learn how GitLab is experimenting with ML-powered issue comment summarization in this fifth installment of our ongoing AI/ML in DevSecOps series.
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