AI agents for GitLab
A Monmo agent works in GitLab the way a dependable developer who also cares about process would. It reads merge requests and drafts review notes, finds why a pipeline failed, keeps issue boards and milestones honest, and proposes changes to your CI configuration on a branch. It uses your own GitLab account and role, and it asks before pushing, approving, merging or changing settings.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in GitLab
Read a merge request
It reads the diff, the pipeline result, the approval rules and any Jira issue it mentions, then drafts review threads on the lines that matter. Posting the threads or approving the merge request asks first.
AskRead merge request 97 in the billing project and draft review comments. Focus on rounding and currency.
Diagnose a failed pipeline
When a pipeline goes red it opens the failed job's log, compares it with the last green pipeline on the same branch and tells you whether the cause is the code, a flaky test or a runner.
AskPipeline 5531 failed in the test stage. Is it our code, a flaky test or the runner?
Groom the issue board
Every Thursday it finds issues with no label, milestone or assignee, and issues nobody has touched in 60 days, and proposes a label, a milestone or closure for each. Applying changes asks first.
AskEvery Thursday at 3, list board issues missing a label or milestone and suggest what to do with each.
Report on the milestone
On Friday afternoon it counts open and closed issues in the current milestone, lists merge requests waiting for approval and writes a short status note in Google Docs or a post for Slack or Microsoft Teams.
AskEvery Friday at 4, write the milestone status: done, in review, at risk, and who is waiting on whom.
Improve the CI configuration
It reads .gitlab-ci.yml, finds slow stages, missing caches or jobs that could run in parallel, and makes the change on a branch. Pushing it and running the pipeline ask first.
AskOur pipelines take 25 minutes. Find what is slow in .gitlab-ci.yml and propose a faster version on a branch.
Draft release notes
From the merge requests merged since the last tag it writes release notes grouped by label, with the issue each change closes. Creating the release and the tag asks first.
AskDraft release notes for 3.4 from merge requests merged since 3.3, grouped by our type labels.
Trace who changed what
Ask why a function looks the way it does or which merge request made a Sentry error appear. It reads the history and the merge request that introduced it, and answers with links instead of guesses.
AskWhy does the invoice export skip zero-value lines? Find the merge request that added that rule.
How it connects
- 1You connect your own GitLab account once. The agent works with the role you hold in each group and project, so a Developer can open merge requests while protected branches and settings stay with Maintainers.
- 2You choose which agents may use GitLab. An engineering agent needs it, and an operations agent might read the issue board for status reports; nobody else should.
- 3Reading code, issues, merge requests and job logs happens without asking. Pushing, commenting, approving, merging, running a pipeline or editing CI/CD variables asks first.
More in Developer and IT
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Questions people ask
Can an AI agent review GitLab merge requests?
Yes. The agent reads the changes, the pipeline result and the discussion so far, and drafts review threads with the reason for each point. Nothing is posted until you allow it. It works through the GitLab connection, or in its own browser when the connection does not cover something.
Can it fix a broken GitLab pipeline?
It can find the cause and prepare a fix. The AI agent reads the failed job's log, compares it with the last passing run and, when the cause is in code or in .gitlab-ci.yml, makes the change on a branch on its own computer. Pushing that branch and starting a new pipeline ask first.
Does it work with self-managed GitLab?
It depends on whether the agent can reach your instance. The agent works on its own cloud computer, so an instance that only answers inside your private network is out of its reach. If your instance is reachable from the internet with your sign-in, the agent can work with it as you would.
Will it approve or merge merge requests on its own?
No. Approving and merging are decisions with your name on them, so each one shows a card with the merge request, the target branch and the pipeline state first. Your approval rules and protected branches still apply on top of that, so the agent can never get around them.