MergeLoom

Not Just Another Coding Agent.A Whole Delivery System.

MergeLoom turns approved work into validated PRs/MRs for human review. Bring your own model, keep your stack, and pay for outcomes, not seats.

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Jira, GitHub, GitLab, Azure DevOps · Bring Your Own Model · Cost Per Outcome

Approved Work Item
Jira · Linear · GitHub
MergeLoom
Orchestrated Run
Context Engine
System Graph
Quality Agents
Gate · Review
Review-Ready PR/MR
GitHub · GitLab · Azure
Bring Your Own Model No Seat Pricing Mandatory PR/MR Review Audit Trails

No Workflow Migration. No Chat UIs. Work Starts Where It Already Lives.

MergeLoom plugs into your tracker, code host, and approved model path, so teams keep their existing workflow while tickets move toward review-ready PRs/MRs.

Jira logo Jira
GitHub logo GitHub
GitLab logo GitLab
Azure DevOps logo Azure
Linear logo Linear
Monday.dev logo Monday.dev
OpenAI logo OpenAI
Anthropic logo Claude
Private Models

The Delivery System

What Other Coding Agents Lack.

Coding agents can generate code. MergeLoom controls the work around them: context, orchestration, quality, learning, cost, and human review.

Context Engine

Whole-System Context Before The Run

Map The Wider System
Pull The Right Context
Show Source Evidence
Reduce Wrong-Repo Guesswork

System-Aware Runs

Stop Agents Guessing Your Architecture.

Most agents guess from the repo in front of them. Context Engine gives the run your architecture, service links, docs, and rules first, so it stops wasting tokens and breaking the wrong thing.

Explore Context Engine
Cross-Repo Awareness
Impact Before Edits
Higher Signal, Lower Risk

Trusted By Design

Stop Reviewing The Same Mistake Twice.

Stop paying reviewers to catch the same mistake twice. Rejected PRs, failed checks, and Review Agent findings feed the next run, so MergeLoom gets closer to what your team actually accepts.

Smarter Over Time
Less Review Noise
Traceable Signals

Self Learning

Feedback Becomes Run Intelligence

Rejected PR/MR Outcome
Validation Failure
Review Agent Finding
Better Future Run

Agent Fleets

Scoped Agents, Not Loose Tabs

Set The Mandate
Scope Repos And Files
Cap Spend And Open PRs
Run Through Quality Agents

Backlog-Scale Automation

Clear The Backlog Without Flooding Review.

All the boring backlog work stops fighting sprint work for attention. Give each fleet a mandate, repo scope, budget, and PR/MR limit, then let it clear repeatable work without flooding review.

Explore Agent Fleets
Named Mandates
Budget Caps
Review Limits

Governed Quality

Stop Messy AI PRs Reaching Review.

AI code is fast. Cleanup is what kills you. Quality Agents check scope, validate, repair, run the Review Agent, and apply Diff Guard before engineers waste time on a messy PR/MR.

Explore Quality Agents
Clear Scope
Review Agent
Cleaner Handoff

Quality Agents

Governed Checks Before Handoff

Clarity And Investigation
Validation And Repair
Review Agent Pass
Diff Guard And Handoff

Audit And Governance

Every Run Leaves Evidence

Link Ticket To PR/MR
Track Branches And Commits
See Retry History
Keep Humans In Control

Governance Without Guesswork

Know Exactly What The Agent Did.

Fast AI work creates audit pressure fast. MergeLoom ties the ticket, run, logs, cost, branch, commits, PR/MR, retries, validation, and human review back to one traceable delivery record.

Explore Audit Trails
Ticket-To-PR Trace
Retry Evidence
Review Proof

Delivery At Scale

Ship Big Backlogs Without Big-Bang PRs.

Large epics stall when every change waits for the same engineers. MergeLoom turns approved slices into coordinated runs, keeps each PR/MR bounded, and gives reviewers work they can actually clear.

Explore Epic Delivery
Smaller PRs
Parallel Workstreams
Progress Evidence

Epic Delivery

Big Work, Reviewable Pieces

Break Down The Epic
Coordinate Workstreams
Keep PRs Reviewable
Track The Delivery

Outcome Pricing

Pay For Outcomes, Not Agent Seats.

Most AI coding tools charge per seat.

MergeLoom charges for governed delivered outcomes.

Explore Reduce AI Costs

Cost Comparison

Seat-based AI agents vs MergeLoom governed runs

No PR/MR, No Charge

Seat-Based AI Agents

Seats / Licences
AI Usage
Prompting Waste
Review Cleanup

MergeLoom Runs

Run Cost
AI Usage
No Seat Pricing
Outcome-Based Spend
Lower Total Cost

What To Automate

Clear The Work That Steals Sprints.

Start with the backlog work that drains sprints: bugs, tests, upgrades, cleanup, docs, architecture checks, and recurring programmes that still need a human PR/MR review.

MergeLoom

Ticket-To-Code Automation

Use MergeLoom when approved work should become a validated PR/MR without pulling engineers into another coding tool.

Explore Ticket-To-Code

Bug Fixes

Turn reproducible issues into validated PRs/MRs with test evidence attached.

Feature Slices

Move scoped product tickets into reviewable branches without a new IDE workflow.

Maintenance Tickets

Clear cleanup, config, CI/CD, and docs work before it becomes sprint debt.

Dependency Repairs

Update packages, fix breakage, and hand reviewers the changed files that matter.

Test Coverage Gaps

Add missing tests around approved behaviour and run validation before review.

Bounded Refactors

Clean small patterns safely with clear scope, run limits, and Diff Guard.

CI/CD Fixes

Repair pipeline scripts, flaky checks, and build config without stealing feature time.

Documentation Tickets

Refresh docs when code changes, so engineers stop answering the same questions.

Config Updates

Apply approved config changes across services with validation before review.

Agent Fleets

Repeatable Codebase Programmes

Use Agent Fleets when the work keeps coming back, needs clear limits, and should not flood reviewers.

Explore Agent Fleets

Security Hygiene

Keep known cleanup moving without opening unlimited PRs/MRs.

Documentation Hygiene

Find stale docs, missing references, and repeated documentation gaps.

Dependency Programmes

Run controlled update waves with budget, repo, and PR/MR limits.

IaC Standards

Apply repeatable infrastructure-as-code standards across repositories.

Config Drift Cleanup

Bring repeated config patterns back into line across services.

Standards Cleanup

Apply repo-wide conventions without turning review into a flood.

Test Debt Sweeps

Find common test gaps and turn them into bounded validation work.

Dead Code Removal

Remove stale paths carefully, with scope and review limits in place.

Migration Prep

Prepare repeated framework, package, or platform changes before the big move.

Context Engine

Architecture-Aware Runs

Use Context Engine when the agent needs to understand the system around the repository before touching code.

Explore Context Engine

Multi-Repository Architecture

Give runs the related services, packages, and docs before edits start.

Complex Microservices

Trace service dependencies before an agent changes the wrong layer.

Event-Driven Flows

Connect producers, consumers, schemas, and queues into the run context.

API Contracts

Expose contracts, callers, docs, and downstream impact before implementation.

Schema Changes

Surface data model impact, migrations, and dependent services early.

Cross-Service Impact

Show what else may break before code reaches a reviewer.

Shared Libraries

Connect package usage and shared helpers so changes land in the right place.

Auth And Permissions

Bring policy, roles, and permission rules into scope before edits start.

Legacy Modernisation

Map old service edges before agents touch fragile code paths.

Run It Your Way. Bring Your Own AI Path.

Go Cloud when you want MergeLoom to operate the runtime. Go Self Hosted when you want the worker, network, provider keys, model path, traces, and deeper audit evidence inside your own boundary.

Managed Control

Cloud Hosted

MergeLoom-managed execution with workspace isolation, governed runs, validation, Quality Agents, audit evidence, and mandatory PR/MR review.

  • Isolated cloud runtimes
  • Customer data is not used to train models
  • Run visibility and audit evidence
  • Managed runtime without operating workers
VPC Control

Self Hosted

Run worker execution inside your environment. Keep code checkout, credentials, tests, provider calls, traces, and worker-local audit inside your VPC perimeter.

  • Sensitive execution runs on your infrastructure.
  • You control the network and AI providers
  • Bring your own AI keys and models
  • Lower platform cost per run.

Start Free With No Risk

Pay For Outcomes, Not Seats

Run MergeLoom on scoped work before rolling it out. You only pay when a run opens a PR/MR for review, not for seats or tickets that stop before handoff.

Cloud

50 Free PR/MR Runs

Then From £4 Per PR/MR

Self Hosted

50 Free PR/MR Runs

Then From £2 Per PR/MR

Paid Outcomes

Only PR/MR Runs Count

No PR/MR, No Run Charge

Start Free Request A Free Demo
  • Free To Start
  • Pay For Outcomes
  • No Lock-In Contracts
  • No Credit Card Required (Self-Hosted)
  • Cancel Anytime

No PR/MR, No Run Charge · No Seat Pricing · Human Review Stays In Control

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