MergeLoom

Stop Vibe Coding. Deploy Quality Agents.

Bring order to chaotic, unverified AI prompting. Our Quality Agents automatically wrap every coding run in deep architectural context and rigorous testing, turning random AI guesses into something valuable.

Engineers still control the merge. They just spend less time cleaning up broken AI output.

Clarity CheckRead-Only InvestigationValidation GateRepair LoopSpecialist Review AgentsDiff Guard
Quality Pipeline
Product Map
  1. Step 01
    Ticket Check
  2. Step 02
    Repository Scan
  3. Step 03
    Test And Repair
  4. Step 04
    Review Handoff

AI Shouldn't Create More Work Than It Saves.

Most AI code tools push blind guesses, broken commands, and bloated diffs straight to review. MergeLoom changes that. Our Quality Agents handle the entire cleanup process before handoff, delivering pure, review-ready code.

Missing Context

AI guesses across service boundaries when repository and system context is thin.

Hallucinated Changes

Specialist review agents catch invented behavior, weak assumptions, and off-scope edits before handoff.

Broken Builds

Setup, test, lint, typecheck, and custom commands run before the branch reaches review.

Review Cleanup

Repair attempts, Diff Guard status, validation output, and handoff evidence stay attached to the run.

How Quality Agents Clean Up Your Pipeline.

Each step kills a different type of code failure before a single PR is ever opened. The AI handles the heavy lifting, but your engineers always keep the final say.

Scope Gate
Clarity
Validation
Required
Repair Loop
Bounded
Final Handoff
Human
Run Input

Ticket, Context, Rules

The run starts with the approved work item, system context, repository rules, and acceptance criteria.

Scope Ticket clarity and acceptance criteria
Context Architecture, docs, and related services
Rules Repository commands and file boundaries
Owner Human review stays in the code host
Quality Runway

Bad Output Stops Before Review

Each gate removes a different kind of AI failure before the branch reaches engineers.

Before Review
Required
Gate 01
Clarity Check

Stops vague tickets and missing acceptance criteria before coding starts.

Logged
Gate 02
Investigation

Reads target files, system context, docs, and related services first.

Pass/Fail
Gate 03
Validation

Runs setup, lint, typecheck, tests, builds, or configured commands.

Capped
Gate 04
Repair

Uses failures to make bounded fixes, then reruns the relevant checks.

Recorded
Gate 05
Specialist Review

Checks product fit, technical risk, evidence, and review quality.

Guarded
Gate 06
Diff Guard

Blocks oversized or off-scope changes before handoff.

Handoff Checks
Attached before PR/MR
Validation Output
Repair Attempts
Review Notes
Diff Metrics
PR/MR Summary
Run Receipt
Review Handoff

Cleaner PRs/MRs

Engineers receive a smaller, checked branch with the evidence needed to review quickly.

Checks Passed Ready

Configured commands ran before the review request opened.

ValidationCommand output
Repairs Logged Saved

Failed checks and bounded repair attempts stay visible.

Repair trailRetry evidence
Review Context Attached

Reviewer sees scope, context, risks, and Diff Guard status.

ScopeDiff Guard
Review Load
Less cleanup
Merge Control
Humans decide
Run Evidence
Attached
Failure Handling
Repair or stop

Fix The Mess Before It Hits Review

Standard PR/MR bots only complain after a branch is already waiting on your team. MergeLoom intercepts the chaos early, checking ticket scope, running validation, and auto-repairing bugs before handoff so reviewers never waste a second.

Checks Before Review

Your custom repository commands run entirely in the background before a PR ever reaches an engineer.

Bounded Auto-Repair

Smart repair loops automatically target and fix validation failures without letting the ticket scope creep.

Multi-Angle Inspection

Product fit, technical risk, and overall code quality agents inspect the exact same diff simultaneously.

Engineers Keep The Keys

Quality Agents prepare a pristine branch, but your existing code host and merge rules hold the final approval.

The Old Way: Chaos In Review

  • Post-Push PR Alerts
  • Scattered Context
  • Invisible Code Fixes

The MergeLoom Way: Quality Agents On Autopilot

  • Checks Before Review
  • Bounded Auto-Repair
  • Multi-Angle Inspection
  • Full Evidence Tracking
  • Engineers Keep The Keys

Track The Entire Quality Process

Get full visibility on every run. See exactly how our agents handled ticket clarity, repository investigations, validation gates, auto-repairs, and final diff metrics in one place.

MergeLoom Quality Agents audit timeline showing clarity, investigation, validation, repair, review, Diff Guard, and PR/MR handoff evidence.
Quality Agent timeline showing clarity, investigation, validation, repair, specialist review, Diff Guard, and handoff evidence.

Keep Engineers In Control

Quality Agents kill review hell without touching your existing branch protection, approval rules, or merge ownership.

  • No Auto-Merge

    MergeLoom prepares review-ready PRs/MRs. Your team decides what is merged.

  • Use Your Commands

    Validation follows the setup, test, lint, typecheck, and custom commands configured for each repository.

  • Review In Your Code Host

    Developers still review the final branch in GitHub, GitLab, or Azure Repos.

  • Full Run Receipts

    Quality Agent results, validation output, repair attempts, and review findings stay attached to the run.

AI That Handles Real Engineering Work.

Most AI tools fail because they code in the dark. Quality Agents bridge the gap, giving AI the context, validation gates, and auto-repair loops it needs to tackle complex tasks like legacy maintenance, sprawling bug fixes, and documentation updates entirely in the background.

Bug Fixes

Patch reproducible issues, run validation, and hand off a cleaner branch.

Test Coverage

Generate tests against acceptance criteria and keep the validation evidence attached.

Config And CI/CD Updates

Catch syntax, lint, and command failures before infrastructure edits reach review.

Bounded Refactors

Flag scope drift and changed-line volume before a refactor gets too wide.

Maintenance Runs

Move dependency updates and housekeeping through checks before reviewers spend time.

Features And Epic Workstreams

Apply acceptance criteria, validation gates, and specialist review across larger workstreams.

Quality Agents FAQ

Do Quality Agents Replace Code Review?

No. They remove cleanup before review. Engineers still approve and merge through the normal PR/MR process.

Do They Remove Engineering Judgment?

No. They run validation and specialist review passes, then hand the final decision to your engineering team.

Where Do Validation Commands Run?

They run in the configured execution path: MergeLoom-managed infrastructure for Cloud Hosted, or your worker for Self Hosted.

How Does Context Engine Help?

It gives Investigation and Review Agents whole-system context: related services, API relationships, docs, rules, and evidence.

Explore Related Product Areas

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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