GitLab AI employee
A Superkind AI employee that creates issues, summarises merge requests, analyses failed pipelines, and documents releases in GitLab. Message it in Teams or Outlook, it works in GitLab and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a GitLab AI employee?
A GitLab AI employee connects to your GitLab account and completes the agreed tasks there. It takes the actions itself, such as creating issues, checking merge requests, analysing pipelines, and preparing releases. Superkind builds it with your company knowledge, rules, and processes.
Unlike Zapier or Make, there is nothing to configure. You describe the result you need, the AI employee picks the right GitLab actions, chains them with your other systems, and asks for your approval before sensitive steps.
GitLab is a DevSecOps platform for Git repositories, issues, merge requests, CI/CD pipelines, and releases.
You ask in Teams
Describe what you need in plain English.
Superkind picks the actions
Selects and chains the right GitLab actions.
Superkind works in GitLab
Handles issues, merge requests, and pipelines.
Superkind reports back
Delivers the finished result in Teams.
What can you ask Superkind to do in GitLab?
Write what you need, add your specifics, and Superkind takes it from there.
“Check the latest failed pipeline on main and briefly summarise the likely cause for me.”
you, to @Superkind“Create one issue per point from this customer email in checkout-api, each with suitable labels.”
you, to @Superkind“Summarise every merge request merged this week as a draft for our changelog.”
you, to @Superkind“Let me know here as soon as a pipeline on main fails, with a link and likely cause.”
you, to @SuperkindHow does Superkind work with GitLab?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect GitLab via OAuth in one click. Add Teams and the systems your team already uses. No webhooks, no zaps. Superkind handles the secure sign-in.
@Superkind please check the latest failed pipeline on main and create an issue with the cause.
On it. I am checking the GitLab pipeline and preparing the issue.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to check a failed GitLab pipeline, for example. Plain English is enough. Superkind picks the actions it needs.
- Pipeline 1842 failed
- Job deploy_prod affected
- Cause: variable missing
Issue preparedWaiting for your approvalCreate issue in GitLab?3Superkind operates, you approve
Superkind completes the task in GitLab and reports the result back in Teams. Sensitive changes wait for your approval. Every step is logged.
What can Superkind do in GitLab?
Ask in plain English from Teams or Outlook. Superkind picks the right GitLab actions, completes the work, and reports back. No workflows to build.
Create issue
Creates an issue with a title and description in a GitLab project.
Update issue
Changes the title, description, milestone, or due date of a GitLab issue.
Assign issue
Assigns a GitLab issue to one person or multiple assignees.
Add labels
Adds suitable project labels to a GitLab issue.
Close issue
Changes the state of a GitLab issue to closed.
Search issues
Finds GitLab issues by text, state, labels, milestone, or assignee.
Create merge request
Opens a GitLab merge request from a source branch into a target branch.
Summarise merge request
Summarises changes, commits, files, and discussions in a GitLab merge request.
Request review
Requests a review of a GitLab merge request from specific people.
Merge merge request
Merges an approved GitLab merge request into its target branch.
Get MR diff
Reads the diff and changed files of a GitLab merge request.
List pipeline runs
Lists GitLab pipelines with their ref, status, source, and duration.
Analyse failed pipeline
Checks failed jobs and logs in a GitLab pipeline for the likely cause.
Get job logs
Reads the trace log of a specific GitLab CI/CD job.
Retry pipeline
Retries failed or cancelled jobs in a GitLab pipeline.
Trigger pipeline
Creates a new GitLab pipeline for a branch or tag.
Create branch
Creates a branch in a GitLab repository from a specified ref.
Read file
Reads a repository file from a GitLab branch or tag.
Get commit history
Lists commits in a GitLab repository with author, message, and timestamp.
Add project member
Adds a person to a GitLab project with a specific access level.
Create release
Creates a GitLab release with a tag, name, and description.
Generate release notes
Creates release notes from GitLab merge requests and commits since the last tag.
List tags
Lists repository tags in GitLab with their commit and release date.
Add comment
Adds a note to a GitLab issue or merge request.
Create snippet
Creates a project snippet in GitLab with a title, file, and visibility.
Superkind AI employees that work with GitLab
Every role brings its own expertise and uses GitLab for the right tasks in daily work.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for GitLab.
Yes. Superkind connects the AI employee to your GitLab account through a managed connector. Your team can then give it tasks from Microsoft Teams, Slack, or Outlook. It reads the required project data, performs allowed GitLab actions, and reports the result back in the channel you selected.
An admin connects GitLab via OAuth in one click and confirms the required permissions. You decide which groups and projects the AI employee can access. Superkind sets up the connection with you and then checks whether issues, merge requests, pipelines, and other agreed resources are available.
Through the GitLab REST API, the AI employee can create and maintain issues, summarise merge requests, request reviews, inspect pipeline runs and job logs, read branches and files, and prepare releases. The exact selection depends on your tasks, permissions, and approval rules. The list above shows typical actions.
No. You do not need to assemble triggers, steps, or zaps and maintain them later. You describe the result you need in plain English. Superkind picks the right GitLab actions itself, connects them to Teams, Outlook, or Jira when needed, and asks when details or approval are required.
Only with your approval. The AI employee can complete read-only tasks and agreed low-risk changes independently. Before it merges a merge request, triggers a pipeline, retries failed jobs, or grants project access, it waits for a responsible person to approve the action. Superkind defines these approval rules with your team.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum GitLab permissions needed for selected groups and projects. Your data is not used for training. Access and completed actions are logged so your team can always trace what was read or changed.
As a market reference, GitLab Premium costs about 29 US dollars per user per month. Zapier or Make often cost 20 to 100 euros per month depending on the plan and volume, plus ongoing automation maintenance. Superkind is priced per use case, at a fraction of the cost of a full-time employee.