GitLab 19.2: Building AI Workflows with Custom Flows (General Availability)

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Издатель Jul 17, 2026

Build and deploy custom, production-ready AI workflows across your software development lifecycle with GitLab 19.2. In this tutorial, Developer Advocate Daniel Helfand celebrates the General Availability milestone of Custom Flows by showing you exactly how to orchestrate your own AI agents. Learn how to break free from rigid out-of-the-box automation patterns and program specific behavior to answer questions automatically on newly created work items.

While GitLab provides foundational flows natively, like fixing CI/CD pipelines, translating issues into merge requests, and conducting localized safety audits—Custom Flows allow you to define specialized AI behavior for your organization's unique requirements. Daniel walks through checking project prerequisites, enabling flow configuration parameters, and configuring detailed YAML schemas. Watch a live demonstration showing how an agent receives custom data inputs and system prompts, executes precise tools, and comments back inside a live issue with confidence scores and unresolved problem summaries.

Key highlights:
* General Availability Milestones: Understanding the step-up in scalability and stability for Custom Flows in the 19.2 release.
* Activating Flow Environments: Ensuring project-level parameters are toggled correctly under your main platform settings.
* YAML Schema Orchestration: Structuring the core inputs, system prompt variables, and routing layers of your custom configuration file.
* Agent Execution Telemetry: Tracking how an AI assistant reasons, calls internal tools, and assigns data variables at scale.

Resources for building AI workflows:
* Documentation overview: https://docs.gitlab.com/user/duo_agent_platform/flows/custom/
* Configuration framework schema: https://docs.gitlab.com/user/duo_agent_platform/flows/custom_flows_schema/

Chapters
00:00 Introduction: Custom Flows Reach General Availability in GitLab 19.2
01:14 Project Configuration: Enabling Duo Agent Platform Feature Rules
01:36 Creating a New Custom Flow and Defining Basic Workspace Scopes
02:03 YAML Schema Breakdown: Setting Inputs, Prompts, and AI Toolsets
02:26 Practical Demo: Deploying the "Answer Open Questions" Flow
04:16 Evaluating Results: Reviewing Agent Answers and Confidence Levels
05:22 Summary Wrap-Up: Harnessing Custom AI Frameworks Natively

#GitLab192 #DevSecOps #CustomFlows