VibeCopCode review

Reviews the system your change lands in, not just the change.

Most review tools read the diff. VibeCop builds a graph of your repository, then runs eighteen agents across every pull request — and gives you one number, four measures, and findings with a file path attached.

Get your integrity reportFree while we prove it

How it works

Three steps, then it runs on its own.

  1. 01

    Connect a repo

    GitHub OAuth, one click. VibeCop indexes the whole repository, not just the branch you are working on.

  2. 02

    It learns your codebase

    Symbol graph, call edges, your conventions, your prior fixes, your dependency surface.

  3. 03

    Every pull request gets scored

    Four measures, one integrity index, and findings that arrive with the prompt that fixes them.

VibeCop · Architecture Integrity Index

MAR – AUG
83/ 100
+25since MAR

One number, out of 100, for what six months of changes did to the architecture. Every point deducted is traceable to a finding with a file path.

100500586160727483MARAPRMAYJUNJULAUGPayments service added — structure dips, then recoversThree duplicate utilities merged into one

Higher is better. Each point is one monthly scan.

Illustrative shape — your report plots your own repository.

What the number is made of

Four measures, twenty-five points each.

No composite weighting, no black box. Findings deduct by severity, so one serious result weighs more than a page of small ones — and you can open every deduction.

Consistency

New code follows the patterns your codebase already uses.

21/25

Reuse

Work you have already done gets reused instead of rewritten.

18/25

Simplicity

Abstractions stay in proportion to what actually needs them.

23/25

Structure

The system keeps its shape as it grows.

21/25

Each measure is worth 25, and every deduction is shown. Nothing is hidden in a weighting we will not show you.

Here’s ours.

We ran VibeCop on the Maiife monorepo and left the numbers up, unedited. These are our own findings, not a customer’s and not a good week.

11,275edges in the graph
71%console modules unimported
10dead files
16agents that find things

What it finds

Architecture Integrity & Product Intelligence.

AI-generated code does not usually fail by being wrong. It fails by being plausible — the same utility written a fourth time, an interface invented for one caller, a fix from March quietly undone. Those are the things a diff review is not looking for.

  • Reads the whole system, then reviews the change.
  • Learns your conventions and holds every change to them.
  • Points you at the function you already wrote.
  • Keeps your abstractions earning their keep.
  • Remembers every fix, so old bugs stay fixed.
  • Treats every import as an architectural decision, and reviews it like one.
  • Every finding ships with the prompt that fixes it.
  • Ask your codebase why.
  • Runs where your agent runs.
  • Secrets, CVEs and config drift are tracked on their own, so your score stays honest.
  • Turn any agent on or off across your org, with a full audit trail.
  • Open the map of your whole system, as of your latest scan.

Verified

Everything on this page is checkable.

25 built-in agents

Eighteen produce findings — nine read your architecture, nine watch dependencies, secrets, SAST, infrastructure config, migrations and error handling. Six build shared context; one synthesises the review.

A real graph

Files, symbols, and imports, calls, extends, implements and instantiates edges. Our own monorepo resolves to 11,275.

Live CVE data

Dependency findings query osv.dev at scan time, not a cached list.

Runs on every pull request

Through a webhook, plus a nightly pass per repository.

Works where you already are

Claude Code, Cursor and Codex, through our MCP server.

Free

No card, no trial clock, no seat count while we prove it.

Why we built it

I let agents write most of this codebase. Then I sat down and read all of it.

Most of it was good. What I kept finding was the same utility written three different ways, an interface with exactly one implementer, a fix from March that had quietly come back. Nothing a reviewer would stop. All of it worth knowing.

So we built something that reads the whole thing and keeps track.

Sakthivel Chandrasekaran, founder

What it is worth

Work it out with your own numbers.

Four calculators — review and rework per developer, Feature Factory, plan review, and security hygiene. Every formula is on the page.

Open the ROI calculators →

Start with a real report.

There is a full report on this site, run against a repository we built to exercise every detector. No signup, no repository, no waiting — then connect your own when you want to see yours.

Get your integrity reportFree while we prove it