Pre-review gates
Run setup, tests, lint, type checks, or custom commands before review.
Make AI-generated code easier to trust before review.
MergeLoom runs validation, repair, self-review, and diff-size controls inside the AI coding run, so obvious failures are handled before engineers see the PR or MR.
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
CI/CD backstop
Use CI/CD as a final safeguard, not the first place basic AI mistakes appear.
Auto repair
Feed validation failures back into a bounded repair attempt inside the same run.
Fresh self-review
Let the agent inspect its output from a second perspective before humans see it.
Reviewable diff
Warn when AI-generated changes grow too large to review confidently.
Validate before review
Run setup, tests, lint, type checks, and custom commands inside the AI run so CI/CD and reviewers are not the first quality gate.
Catch failures early
Missing setup, broken tests, lint failures, and type errors are found inside the run instead of after the PR or MR lands in review.
Repair before review
Validation output can be fed back into a bounded repair attempt, giving the agent a chance to fix avoidable mistakes before humans spend time.
CI/CD stays the backstop
Your pipeline still protects the codebase, but MergeLoom reduces the avoidable noise that reaches it.
Repair failures inside the run, not after someone notices
Failure happens early
Setup, test, lint, and custom command failures are captured inside the AI run.
Repair before push
The worker can use those failures as feedback for a bounded fix attempt before review.
Less manual intervention
Engineers spend less time asking the agent to fix avoidable issues after CI/CD or review catches them.
Human review still decides
The output has passed more gates, but your team still controls approval, merge, and release.
Review before humans
MergeLoom can ask the agent to inspect its own change from a fresh perspective and keep oversized diffs from reaching reviewers.
Fresh self-review
After implementation and validation, the agent can review the completed change again against the ticket, rules, checks, and acceptance criteria.
Diff guard
MergeLoom warns when an AI-generated change grows beyond your review-size limit, helping keep work closer to a reviewable scope.
Less review waste
Reviewers get fewer obvious misses, smaller diffs, and a clearer trail of what was checked before the PR or MR reached them.
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 what else MergeLoom can do.
Connect more of your stack, improve context, validate output, and keep audit evidence across every AI coding run.
Try one controlled AI coding workflow.
Start with one tracker, one repository, and one validation path before rolling AI coding across the team.