Updated on: June 10, 2025
4 min read
Agentic AI guides and resources
Learn everything you need to know about agentic AI, including what it is, how it works, why it levels up your DevSecOps environment, and best practices for implementation.
Defining agentic AI
Agentic AI is a type of artificial intelligence that leverages advanced language models and natural language processing to take independent action. Unlike traditional generative AI tools that require constant human direction, these systems can understand requests, make decisions, and execute multi-step plans to achieve goals. They tackle complex tasks by breaking them into manageable steps and employ adaptive learning to modify their approach when facing challenges.
Agentic AI insights
- Emerging agentic AI trends reshaping software development: Discover how agentic AI transforms development from isolated coding to intelligent workflows that enhance productivity while maintaining security.
- Agentic AI: Unlocking developer potential at scale: Explore how agentic AI is transforming software development, moving beyond code completion to create AI partners that proactively tackle complex tasks.
- Agentic AI, self-hosted models, and more: AI trends for 2025: Discover key trends in AI for software development, from on-premises model deployments to intelligent, adaptive AI agents.
- How agentic AI unlocks platform engineering potential: Explore how agentic AI elevates platform engineering by automating complex workflows and scaling standardization.
The agentic AI ecosystem
- AI-driven code analysis: The new frontier in code security:
- DevOps automation & AI agents
- AI-augmented software development: Agentic AI for DevOps
Best practices for implementing agentic AI
- Implementing effective guardrails for AI agents: Discover essential security guardrails for AI agents in DevSecOps, from compliance controls and infrastructure protection to user access management.
GitLab's agentic AI offerings
GitLab Duo with Amazon Q
- 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.
- DevSecOps + Agentic AI: Now on GitLab Self-Managed Ultimate on AWS: Start using AI-powered, DevSecOps-enhanced agents in your AWS GitLab Self-Managed Ultimate instance. Enjoy the benefits of GitLab Duo and Amazon Q in your organization.
- GitLab Duo with Amazon Q partner page
Watch GitLab Duo with Amazon Q in action:
Guided tour
Click on the image to start a tour of GitLab Duo with Amazon Q:
GitLab Duo with Amazon Q tutorials
- GitLab Duo + Amazon Q: Transform ideas into code in minutes: The new GitLab Duo with Amazon Q integration analyzes your issue descriptions and automatically generates complete working code solutions, accelerating development workflows.
- Accelerate code reviews with GitLab Duo and Amazon Q: Use AI-powered agents to optimize code reviews by automatically analyzing merge requests and providing comprehensive feedback on bugs, readability, and coding standards.
- 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.
GitLab Duo Workflow and Agentic Chat
- GitLab Duo Workflow: The future of secure agentic AI software development
- GitLab Duo Chat gets agentic AI makeover: Our new Duo Chat experience, currently an experimental release, helps developers onboard to projects, understand assignments, implement changes, and more.
- GitLab Duo Workflow: Enterprise visibility and control for agentic AI: Secure, autonomous, context-aware AI agents take on complex tasks, freeing developers to ship innovative software faster. Private beta waitlist now open.
- GitLab Duo Workflow
- GitLab Duo Workflow documentation
Watch GitLab Duo Workflow in action:
Guided tour
Click on the image to start a tour of GitLab Duo Workflow:
GitLab Duo Workflow tutorials and use cases
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Refactoring JavaScript to TypeScript with GitLab Duo Workflow
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Automating 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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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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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.