GitLab intake
Use GitLab Issues as the request source instead of copying work into chat.
GitLab issue to merge request automation with validation built in.
Use GitLab Issues for intake and GitLab merge requests for review while MergeLoom handles the controlled coding run.
Works with
Jira GitHub GitLab M monday.dev Linear Azure Boards Azure Repos
Jira GitHub GitLab M monday.dev Linear Azure Boards Azure Repos
Jira GitHub GitLab M monday.dev Linear Azure Boards Azure Repos
Jira GitHub GitLab M monday.dev Linear Azure Boards Azure Repos
Repo-aware run
Apply rules, context, and validation per repository.
Worker execution
The coding run happens on your infrastructure.
Validation gate
Run tests before an MR reaches review.
MR handoff
Your GitLab review process remains the approval step.
Issue in. Merge request out.
GitLab teams need automation that respects their issue and MR flow instead of moving work into a separate AI workspace.
Ready GitLab Issue
Labels or status rules decide what enters the queue.
Context-driven coding
The worker uses repository rules, ticket input, and provider settings.
Validation before MR
Your commands run before reviewers spend time.
Merge request
The MR returns to the normal GitLab review path.
Issue to MR
Turn ready GitLab Issues into merge requests while keeping GitLab review as the approval gate.
MRs stay inspectable
MergeLoom creates reviewable work in GitLab instead of leaving developers to paste issue text into a private AI session.
Validate before reviewers
Repository checks run before the MR reaches humans, reducing avoidable review churn.
GitLab stays the workflow
Issues, branches, merge requests, review, and approval remain in the tool your team already uses.
Make every AI coding run easier to inspect
Ticket link
The issue remains attached to the run and output.
Run state
Operators can see progress, failures, and review output.
Validation
Commands and outcomes are part of the run path.
MR output
Review happens in the code host your team already uses.
Runs with
CX Codex Claude Vertex AI AWS Bedrock AZ Azure Foundry API OpenAI-compatible
CX Codex Claude Vertex AI AWS Bedrock AZ Azure Foundry API OpenAI-compatible
CX Codex Claude Vertex AI AWS Bedrock AZ Azure Foundry API OpenAI-compatible
CX Codex Claude Vertex AI AWS Bedrock AZ Azure Foundry API OpenAI-compatible
See how MergeLoom helps your engineering team.
Connect the tools you already use, give each AI run the right context, validate output before review, and keep the audit trail tied to the ticket.
Related pain points.
See the same ticket-to-code workflow from another toolchain, cost, or governance angle.
Try this workflow on one real ticket.
Start free, connect one repository, add one intake rule, and see whether a real ticket can reach review with less manual implementation work.