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AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

243 starsTypeScript

Open Code Review – AI reviewers debate each other before feedback

by spencermarx·Mar 7, 2026·1 point·0 comments

AI Analysis

●●●BangerBig BrainSolve My Problem

Multi-agent code review with internal debate beats single-pass LLM tools.

Strengths
  • Debate mechanism between agents genuinely reduces hallucinations and false positives vs. single-pass reviewers
  • Local-first CLI with no SaaS lock-in; runs from your repo, ships as pure open source
  • GitHub integration lets you post reviews directly; offers both synthesis and ghostwriting options
Weaknesses
  • LLM-based code review as a category is crowded (Copilot, CodeRabbit, GitHub Copilot)—novelty is the debate mechanic, not the review itself
  • No public data on false negative/false positive rates or comparative benchmarks; 'team surprised by catches' is anecdotal
Target Audience

Software engineers using AI-assisted development; teams seeking pre-review quality gates

Similar To

GitHub Copilot Code Review · CodeRabbit · GitLab Code Suggestions

Post Description

I got tired of AI code review tools that just run a single LLM pass over a diff and call it a review. So I built something different.

Open Code Review spins up multiple AI reviewers from your CLI, each with a different focus. They review independently, then debate each other’s findings, then synthesize into a single review. You get a local dashboard that spins up out of your repo to navigate everything.

The debate step is what makes it work. A single-pass reviewer hallucinates issues and misses real ones. When agents argue with each other, the false positives get killed and the real problems get surfaced with better reasoning. My team’s senior engineers have been consistently surprised by what it catches.

Latest release adds GitHub integration — post the synthesized review directly to PRs. You can post the raw synthesis or have it ghostwritten in your voice. Your call on whether that’s ethical lol.

Runs locally from your CLI, not a SaaS. No catch, pure open source. Works on any repo, any language. Fully open source. The dashboard serves from your project directory, not a separate app.

We’ve been using this daily on our own team for months. It’s the only AI review tool that actually stuck in our workflow.

Repo: https://github.com/spencermarx/open-code-review

Would love feedback from anyone who tries it, especially on the multi-agent synthesis quality. That’s the part I’m most interested in improving.

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