GitLab Inc., the intelligent orchestration platform for DevSecOps, today released GitLab 19.4. As agentic automation spreads from individual developers to entire engineering teams, what limits its reach is no longer what agents can do but how confidently an organization can extend it. GitLab 19.4 brings agentic automation to every surface developers work in, with new options for cost efficiency and the control platform owners need to scale it.
Developers can now delegate a whole objective from the terminal, run flows the moment a merge request opens, and reach GitLab from any Model Context Protocol client through a governed set of tools. Platform owners get the tool-level controls and the per-person attribution to widen access to that automation and account for how it is used.
AI agents have handled individual tasks well, but developers have still had to break the work into those tasks and check each result. Handing over an objective to agents also meant no independent check on their judgment.
The /goal slash command in GitLab Duo CLI automates a whole objective until it's done or reports what it could not resolve, with project guardrails and context. The agent implements the work, and a separate model verifies it against the stated goal at each step, deciding whether the goal is met or the iteration limit is hit. The developer can stop the run at any point, then revise the goal and restart, and the flow runs locally under the organization's existing rules.
No single model fits every task. GitLab Duo Agent Platform now offers three GitLab-hosted open weight models, Kimi K3, MiniMax M3, and GLM 5.3, alongside the frontier models already available, giving teams more flexibility to choose the model best suited to each agentic automation workload. The new hosted open weight models get up to 4x more calls per GitLab Credit than many comparable frontier models, giving teams more model options to match cost to task complexity.
Group owners retain same governance over model choice, can set default model for each feature and curate models available to teams, with settings applying across child groups and projects.
An agent working in a client outside GitLab can now carry a piece of work through GitLab end to end. New tools in GitLab MCP server let it trigger pipeline and read trace of failed job, run merge request from opening through review to merge, search and update work items, and triage vulnerabilities. Administrators govern those tools with rules already set for GitLab Duo Agent Platform. Read-only tools default to Always Allow, write and delete tools default to Always Ask.
A platform owner can now show each department how it is using organization's capacity for agentic automation without waiting for invoice. Per-user caps appear on dedicated settings page, and usage exports go down to billable event arriving by email with secure download link for both GitLab Flex and non-Flex subscriptions. Developers can also see their own consumption for first time.
Additional capabilities include GitLab Duo Agent Platform in Slack now as experiment for Premium and Ultimate customers letting teams mention @GitLab in thread to search GitLab, open issue, or get answers. Model selection for Developer Flow is now generally available. Redesigned session details panel surfaces status, timestamps, and triggering user, separating what started session from what it produced.
"This release takes agentic automation from something individual developers use to something an organization can scale at speed and under the controls already in place," said Manav Khurana, chief product and marketing officer at GitLab. "The platform running the automation is what governs which tools an agent can touch and attributes what it consumes, so extending it to the next team is a measured decision rather than an open-ended risk."
About GitLab
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and approximately 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
