GitLab (NasdaqGS:GTLB) Stock Price

Announcement • Sep 18

GitLab Inc. Releases GitLab 19.4 With New Agentic Automation And Cost Efficiency Features

GitLab Inc. released GitLab 19.4. 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. 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. By selecting models based on task requirements, teams can balance quality, latency, and cost. The new hosted open weight models in GitLab Duo Agent Platform 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 the same governance over model choice as every other GitLab Duo Agent Platform capability. They can set a default model for each feature and curate the models available to teams, with those settings applying across child groups and projects. GitLab evaluates each model against internal performance and quality standards, and vets every hosting vendor through its third-party risk management process. New tools in the GitLab MCP server let it automate work across GitLab, triggering a pipeline and reading the trace of a failed job, running a merge request from opening through review to merge, searching and updating work items, and triaging vulnerabilities. Administrators govern those tools with the rules they already set for GitLab Duo Agent Platform, configured in the same group and project settings. Read-only tools default to Always Allow, so routine lookups proceed without interrupting the team, and write and delete tools default to Always Ask, giving reviewers a checkpoint before an agent changes anything. GitLab Credits usage visibility gives platform owners the ability to measure and control costs of agentic automation. Per-user caps appear on a dedicated settings page, and usage exports go down to the billable event, arriving by email with a secure download link for both GitLab Flex and non-Flex subscriptions. Developers can also see their own consumption for the first time, so a team can manage its own pace. GitLab Duo Agent Platform in Slack is now available as an experiment for Premium and Ultimate customers, letting engineering teams mention @GitLab in a thread to search GitLab, open an issue, or get answers about their projects, using the thread and recent channel history as context. This agentic flow runs on a CI/CD runner and posts the result back to the thread, turning a discussion into tracked work without leaving the conversation. Model selection for the Developer Flow in Duo Agent Platform is now generally available, allowing administrators to choose a model for that flow independently of other GitLab Duo Agent Platform features and match it to the work the flow performs. A redesigned session details panel is now available in 19.4, surfacing status, timestamps, and the triggering user in an overview bar. The panel also separates what started an agent session from what it produced, so a reviewer can account for an agent's work without searching for it. Community contributors through GitLab's Co-Create program added new MCP server tools that let an agent read a project's metadata and members, list a repository's branches, list merge requests across a whole group, and fetch a GitLab Duo session to see what an earlier run did, as well as consolidate semantic search into one tool. Contributors also improved the merge request widget to explain its status in plain language and give a clear reason when a rebase fails, and added a preview that shows how a Markdown or AsciiDoc file will render before it is first committed.

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