GitLab

Merge requests, pipelines, and projects managed by AI in GitLab

Engineering teams using GitLab for their DevOps lifecycle can now manage merge requests, monitor CI/CD pipelines, create issues, and navigate projects through natural conversation. Your AI agent handles the GitLab busywork so developers focus on shipping code.

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DevOps lifecycle, one conversation at a time

Your AI agent navigates 54 GitLab operations spanning issues, merge requests, pipelines, branches, and team management, bringing your entire DevOps platform into a chat window.

Create Project Issues

A tester discovers a regression and describes it in chat. Your AI agent creates a GitLab issue with the title, description, labels, and assignee in the correct project. No browser required, the bug is tracked before the tester finishes their coffee.

Monitor Pipeline Status

The release manager asks if the staging pipeline passed. The agent retrieves the latest pipeline for the project, reports its status, lists individual job results, and highlights any failures with job IDs for quick investigation.

Review Merge Request Diffs

Before approving a merge request, a reviewer asks what changed. The agent fetches the MR diff versions, shows modified files with addition and deletion counts, and retrieves commit messages so the reviewer has full context in a single response.

List Repository Branches

A developer needs to know which feature branches exist before creating a new one. The agent lists all branches in the project, shows the latest commit on each, and confirms whether a proposed branch name would conflict with an existing one.

Manage Project Members

An admin needs to add a contractor to a project with developer-level access. The agent handles the invitation, sets the correct access level, and confirms the member was added. When the engagement ends, the same agent removes access.

Inspect Commit History

A team lead wants to see who committed what this week. The agent lists recent commits for the project, showing authors, messages, and timestamps. It can also retrieve a specific commit by SHA to examine exactly what changed.

GitLab

Use Cases

Ship faster with conversational DevOps

Explore how engineering teams use AI to cut through GitLab navigation overhead, monitor deployments, and keep their DevOps pipeline flowing from a single chat interface.

Pipeline Failures Diagnosed in Real Time

A CI pipeline fails at 3 AM and alerts fire. The on-call engineer asks the AI Agent what happened. The agent retrieves the failed pipeline, identifies the broken job, pulls the job details including stage and failure reason, and points the engineer to the exact issue. Diagnosis that usually takes 15 minutes of clicking through GitLab happens in one exchange.

Merge Request Reviews Without Tab Juggling

During code review, a senior developer asks the AI Agent to summarize the open MR. The agent fetches the merge request commits, lists the diff versions, retrieves discussion notes from reviewers, and compiles everything into a clear summary. The reviewer makes an informed approve or request-changes decision without opening GitLab at all.

Cross-Project Visibility for Engineering Managers

An engineering manager oversees five GitLab projects. Instead of checking each project individually, they ask the AI Agent for pipeline status across all projects. The agent queries each project's latest pipeline, compiles results into a single view, and flags which projects have failing builds. Executive-level visibility delivered in seconds.

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GitLab

FAQs

Frequently Asked Questions

Can the AI agent monitor CI/CD pipelines and report job failures?

Yes. The agent retrieves pipeline details including status, individual job results, stage information, and failure reasons. It can list all pipelines for a project, filter by status, and drill down into specific jobs. You get pipeline visibility without navigating GitLab CI/CD pages.

What GitLab OAuth scopes does Tars request?

Tars requests api, read_api, read_user, read_repository, and write_repository scopes among others. These cover project management, issue creation, merge request handling, pipeline monitoring, and member management. You authorize through GitLab's standard OAuth flow and can revoke access anytime.

Does the agent work with self-managed GitLab instances?

Yes. The integration connects to any GitLab instance accessible via HTTPS, including GitLab.com, self-managed installations, and GitLab Dedicated. You provide your instance URL during setup, and the agent communicates with your specific GitLab server.

Can the agent create and manage merge requests?

The agent can retrieve merge request details, list MR commits and diffs, read discussion notes, and fetch review comments. It provides full visibility into merge request status and content. For creating new MRs, the branch creation endpoint is available alongside commit inspection tools.

Does Tars store copies of my GitLab project source code?

No. Tars queries GitLab APIs in real time during conversations. Project metadata, pipeline statuses, and merge request diffs are fetched live and used only to formulate the response. No source code is persisted on Tars infrastructure.

How is this different from GitLab's built-in Duo Chat?

GitLab Duo Chat focuses on code explanation and generation within the GitLab IDE. Tars AI Agent is an operational tool that manages your GitLab workflow across issues, pipelines, MRs, and team permissions from any chat channel. It connects with 600+ other tools, so your GitLab operations can work alongside Slack, Jira, and your CRM.

Can the agent share projects with groups or manage access levels?

Yes. The agent can share a project with a GitLab group at a specified access level, import members from one project to another, and manage individual member roles. It supports listing all project members including inherited ones, making access auditing straightforward.

What happens when the agent queries a project I do not have access to?

The agent inherits the permissions of the authenticated GitLab user. If you do not have access to a project, the API returns a 404 and the agent informs you the project was not found or you lack permission. It never circumvents GitLab's access control model.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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Email - sales@hellotars.com

Get in touch

Email - sales@hellotars.com

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