GitLab 19.2 release notes

On July 16, 2026, GitLab 19.2 was released with the following features. We are excited to recognize vivekshukl007 as this month’s Notable Contributor! Vivek is a Senior Data Engineer at Emirates who made a high-impact contribution to add Scala language support to GitLab Orbit. This change improves the code graph capabilities for developers who work in Scala codebases. Primary features GitLab Duo CLI is now generally available Tier: Premium, Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated Links: Documentation · Related Issue GitLab Duo CLI brings the GitLab Duo Agent Platform directly to your terminal. Use the CLI to ask complex questions about your codebase and to autonomously perform actions on your behalf. Unlike external tools, the CLI has context about your GitLab project, pipelines, and agent configurations. Key features include: Two modes: interactive chat mode and headless mode for CI/CD Administrator on/off control for GitLab Self-Managed and GitLab Dedicated Model selection and shared sessions Tool approvals Model Context Protocol (MCP) connections Slash commands, including commands for context usage and context compaction Support for skills and AGENTS.md customization files Install the GitLab Duo CLI through the GitLab CLI (glab) or as a standalone tool. GitLab Duo custom flows are now generally available Tier: Free, Premium, Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated Links: Documentation · Related Issue Custom flows are AI-powered workflows you create and configure to automate complex, multi-step tasks across your GitLab projects. They let teams define workflow steps, components, and triggers so repetitive development and operational work can run automatically in response to GitLab events. In the GitLab UI, flows run directly in GitLab CI/CD, helping teams automate common tasks without leaving GitLab. Key features include: YAML-defined, reusable workflows for team-specific automation Multi-agent orchestration for complex, multi-step tasks User-defined human-in-the-loop (HITL) checkpoints for approval or feedback at sensitive steps Native GitLab triggers, including mentions, assignments, pipeline events, and merge request lifecycle events Flow creation and management from projects or the AI Catalog Public and private visibility controls Secure execution using service accounts and composite identity YAML validation to catch configuration issues before runtime Scheduled pipeline execution policies are GA Tier: Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated Links: Documentation · Related Issue Scheduled pipeline execution policies are now generally available. Define a schedule once in a security policy project and enforce it across every project in scope, without editing each project’s .gitlab-ci.yml. If requirements change, update the policy in one place instead of coordinating changes across many CI/CD configuration files. Use scheduled policies to run compliance scripts, security scans, or other custom CI/CD jobs on a daily, weekly, or monthly cadence, independent of commit activity. This is useful for repositories without regular code changes, such as running dependency scans to detect newly discovered vulnerabilities. Each policy runs as a separate pipeline, with time zone support, time window distribution, and branch targeting. Start foundational flows from Agentic Chat Tier: Free, Premium, Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated Links: Documentation · Related Issue In previous versions of GitLab, you started foundational flows from specific UI actions, mentions, or assignments. Now you can start them from Agentic Chat in the GitLab UI as part of your conversation. When your request matches a specialist workflow, Agentic Chat hands off to one of these flows: Developer Flow: Implements changes or opens a merge request Code Review Flow: Reviews a merge request Fix CI/CD Pipeline Flow: Diagnoses and repairs a failed pipeline You approve the handoff in chat, then follow progress in the conversation or from AI > Sessions. Dependency scanning auto-remediation (Beta) Tier: Ultimate Offering: GitLab.com, GitLab Self-Managed, GitLab Dedicated Links: Documentation · Related Issue GitLab 19.2 introduces Dependency scanning auto-remediation in Beta. The feature brings automated vulnerability remediation directly into your dependency scanning workflow, with two capabilities: Automated dependency version bumps, available on GitLab.com, GitLab Self-Managed, and GitLab Dedicated. Agentic Breaking Change Resolution, available on GitLab.com, GitLab Self-Managed, and GitLab Dedicated, and consumes GitLab Credits. Automated dependency version bumps automatically opens merge requests to update vulnerable dependencies to their safe versions. Once turned on, GitLab monitors your projects for vulnerable dependencies and opens remediation MRs without manual intervention. By default, updat

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