---
schema: 1
type: term
title: '**swarm review**'
description: >-
  A custom multi-agent code-review skill in which a change set is split into
  domains and each domain is reviewed by a correctness reviewer and a code
  maintenance reviewer, with every pass run on two models (GPT and Opus); a lead
  agent collects the findings into a report and the loop iterates until the
  findings are resolved — all before the human reviews the code.
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/swarm-review-e55a59869a1a'
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/swarm-review-e55a59869a1a.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*swarm review\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/swarm-review-e55a59869a1a

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

A custom multi-agent code-review skill in which a change set is split into domains and each domain is reviewed by a correctness reviewer and a code maintenance reviewer, with every pass run on two models (GPT and Opus); a lead agent collects the findings into a report and the loop iterates until the findings are resolved — all before the human reviews the code.

**Swarm review** is a custom skill Ryan built for Notion AI workflows: a multi-agent review pass that vets generated code *before* a human looks at it. It appears as a step in his handoff prompt — after the agent fulfills requirements, it runs the swarm review skill for in-depth verification, then opens a PR and monitors CI. The principle: the human's job shifts to planning, orchestrating, and verifying, and much of the verifying can itself be delegated. [^7d2a9b32-b281-5828-9eb1-bf812129ae58@426]- **Divide the change set into domains** — e.g. frontend and backend. - **Delegate per domain** to two reviewer roles: a **correctness reviewer** hunting for errors, and a **code maintenance reviewer** looking for patterns to reuse, existing patterns that should be followed, and things that will fall apart at scale. - **Run every pass on both GPT and Opus** — two models per check. - A **lead agent collects all findings** and turns them into a report of what needs to be done. - **Iterate until it's good** — the loop repeats until findings are resolved.Big change-sets need more than bug-hunting — they need checks for *maintainability*. Rather than wait for someone to build the review skill he wanted, Ryan opened Codex and asked it to analyze other skills and create a new one, turning swarm review into his own thing.- Swarm review is a **multi-agent verification skill** that runs before human review. - It splits the change set by domain and uses **correctness and maintenance reviewers**, each run on **two models**. - A lead agent consolidates findings and iterates until they're resolved. - You can **build your own skills** with agents instead of waiting for them to exist.