Backlog moves
Approved tickets can run outside office hours instead of waiting in the queue.
Keep approved development work moving after the team logs off.
MergeLoom helps approved bugs, maintenance tasks, tests, docs, and features move toward review while engineers focus on the decisions that need them.
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
Customer-hosted
The worker runs inside your environment, not on a vendor machine.
Provider choice
Use the AI provider or compatible endpoint your team approves.
Validation first
Checks run before PRs or MRs reach review.
Humans merge
Engineers still review, approve, and release.
Approved work can move while the team is offline
The worker keeps executing ready work while review and merge decisions stay in the normal engineering workflow.
Approved work enters
A ready label, status, or intake query places work in the queue.
Worker runs
The customer-hosted worker applies context, writes code, and runs checks.
PR/MR is waiting
Engineers return to review requests with checks already run, not empty tickets.
Human approval remains
The team still decides what lands.
Work moves overnight
Approved work can move toward review while the team is offline, with intake rules, validation, and human approval still in place.
Only ready work runs
MergeLoom uses the approval signals you choose, so overnight execution starts from scoped work instead of random backlog items.
Morning PRs/MRs
The team can come back to review requests with checks already run, not a queue of untouched tickets.
Humans still merge
Always-on execution speeds up the implementation pass, but engineers still own approval, merge, and release.
Good work to move
Use always-on AI for scoped bugs, maintenance, tests, docs, and feature tickets that can produce a reviewable first pass.
Bugs
Well-scoped fixes can move toward review while the team is busy.
Maintenance
Refactors, cleanup, and dependency work can start from approved tickets.
Tests and docs
Coverage and documentation tasks often have clear acceptance criteria.
Feature tickets
Approved feature work can produce a first implementation for review.
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.