GitLab integration for AI agents
GitLab is a development platform that brings together code repositories, merge requests, issues and CI/CD pipelines. It runs in the cloud or installed on the company's own server. The agent accesses GitLab through the iTeam app catalog, using the official API and a token of limited scope, to read projects, issues, merge requests and pipelines.
What AI agents do with GitLab
Broken pipeline explained
When a pipeline fails, the agent reads the job log, identifies the step and the likely cause and tells whoever made the commit in Slack. The team does not have to open log after log.
Merge requests waiting for review
Every morning the agent lists MRs open for more than a day, with their size and the area affected, and chases the assigned reviewer.
Issues organized by milestone
The agent reviews issues with no label or milestone and proposes a classification. The tech lead approves in bulk.
Sprint summary for leadership
At the end of the cycle, it summarizes what shipped, what slipped and why, based on closed MRs and issues.
Connect GitLab once. The agents use it within your rules.
- In the app catalogAvailable in the iTeam app catalog, with the app’s own login and permissions per agent.
- Each agent gets the right accessYou decide what each agent can read or do in GitLab, by area and by person.
- Human approval where it mattersSensitive actions wait until someone with the authority approves them.
- A trail and a cost for every actionWho asked, what the agent did in GitLab and what it cost, all on record.
Ready-made AI teams for this work
Questions about GitLab and AI agents
Does iTeam integrate with GitLab?
Yes, through the iTeam app catalog, using the official GitLab API.
Does it work with GitLab installed on our own server?
Yes, as long as the instance can be reached securely over the network. The address and the way of access are set with the deployment team.
Can the agent merge or run a deploy?
Only with explicit permission. The default is read access and comments. Actions that change code or production require human approval and are recorded in the audit trail.
