Browse articles from AI/ML

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Announcing general availability for GitLab Duo Agent Platform

Discover how agentic AI across the entire software lifecycle translates faster coding into accelerated innovation cycles.

Author: Bill StaplesRead Post

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AI/ML

AI Catalog: Discover, create, and share agents and flows

Explore the GitLab AI Catalog to discover and enable foundational agents and flows, create custom ones tailored to your needs, and share them with your team for seamless collaboration.

AI/ML

Customizing GitLab Duo Agent Platform: Chat rules, prompts, and workflows

Learn how to customize GitLab Duo Agent Platform to match your team's workflow. Configure chat rules, craft system prompts, set up agent tools, and tailor flows for your specific needs.

AI/ML

Getting started with GitLab Duo Agentic Chat

Learn the chat interface, model and agent selection, and best practices for effective AI collaboration across Web UI and IDEs.

AI/ML

Get started with GitLab Duo Agent Platform: The complete guide

Learn GitLab Duo Agent Platform with this comprehensive series covering everything from first interactions to advanced MCP integration, customization, and production workflows.

AI/ML

Introduction to GitLab Duo Agent Platform

Learn the basics of GitLab Duo Agent Platform and complete your first agent interaction.

AI/ML

Monitor, manage, and automate AI workflows

Explore the GitLab Duo Agent Platform Automate capabilities. Monitor activity through sessions, automate workflows with event-driven triggers, and manage your AI-powered development processes.

AI/ML

Understanding agents: Foundational, custom, and external

Deep dive into GitLab Duo Agent Platform agent types. Learn about foundational agents, create custom agents for team workflows, and integrate external agents like Claude Code and OpenAI Codex.

AI/ML

Understanding flows: Multi-agent workflows

Deep dive into GitLab Duo Agent Platform flows. Learn about foundational flows, create custom user-defined workflows, and learn flow orchestration patterns.

AI/ML

Building trust in agentic tools: What we learned from our users

Discover how trust in AI agents is developed from small, positive micro-inflection points, not big breakthroughs.

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