The platform layer for controlled ticket-to-code automation.
MergeLoom gives AI coding a controlled path: approved work in, the right context applied, checks run, audit evidence kept, and a PR or MR returned for review.
Pick up ready work from Jira, GitHub Issues, GitLab Issues, monday.dev, Linear, or Azure Boards.
CTX
Context
Apply repository rules, organization guidance, ticket input, and file scope before the model starts.
OWN
Worker
Keep code access, tests, tools, and model calls on customer-managed infrastructure.
QA
Validation
Catch setup, test, lint, scope, and diff-size problems before human review.
LOG
Audit
Keep every MergeLoom AI run tied to its requester, ticket, validation, and review diff.
Connect your stack. Control the AI run.
Bring approved work in from your issue system, run AI coding inside
your boundary, validate the output, and send review-ready PRs or MRs
back to your code host.
Start with the outcome you need: lower ticket cost, keep the current
workflow, move tracked work into PRs, run approved work overnight, or
validate AI output before review.