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By spencermarx
Orchestrate multi-agent AI code reviews on git diffs, PRs, branches, and changesets using customizable Principal Engineer personas. Run parallel reviews with redundancy and debate, synthesize findings into human-readable outputs, post to GitHub PRs, manage reviewer teams, and track review history.
npx claudepluginhub spencermarx/open-code-review --plugin ocrAddress code review feedback — corroborate, validate, and implement changes from a review's final.md.
Create a new custom reviewer from a natural language description.
Check OCR installation and verify all dependencies are available.
List past OCR review sessions.
Generate a Code Review Map to help navigate large, complex changesets.
Share bugs, ideas, or general feedback.
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Codex, Gemini, Claude の3つの AI に並列でコードレビューを依頼し、統合レポートを生成する
AI-powered code review analysis — Run three-level AI analysis and implement-review-fix loops directly in your coding agent. Works standalone, no server required.
Multi-agent code review for Claude Code — parallel review by Codex (GPT-5.5), Gemini 3.1 Pro, and five Claude specialist subagents (one run blind), then verified synthesis.
Terminal-based code review companion for Claude Code. Review diffs, leave structured feedback, and submit reviews — all from a TUI running alongside Claude.
Multi-agent adversarial review panel — 4-6 AI reviewers debate your code/plans, then a judge delivers a structured verdict with epistemic labels. Bundles plan-review-integrator for applying review findings back into implementation plans.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Customizable multi-agent code review for AI-assisted development
Prerequisites: Node.js >= 20, Git, and an AI coding assistant.
# 1. Install the CLI globally
npm install -g @open-code-review/cli
# 2. Initialize OCR in your project
cd your-project
ocr init
# 3. Launch the dashboard and run your first review
ocr dashboard
Your browser will open the OCR dashboard — you're ready to run your first review.
ocr init detects your installed AI tools (Claude Code, Cursor, Windsurf, and 11 more) and configures each one automatically. Then open the dashboard to run a review, browse results, and manage your workflow from the browser.
Or run reviews directly from your AI coding assistant:
/ocr:review # Claude Code / Cursor
/ocr-review # Windsurf / other tools
/ocr-review Review against openspec/spec.md # With requirements
When you ask an AI to "review my code," you get a single perspective — one pass, one set of priorities. OCR changes that fundamentally:
CLAUDE.md, .cursorrules, OpenSpec configs, and other common patterns. Reviewers apply your conventions. ┌─────────────┐
│ Tech Lead │ ← Orchestrates the review
└──────┬──────┘
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────┐ ┌─────────────────┐
│ Your Team │ │ Your Team │ │ Your Team │
│ Composition │ │ Composition│ │ Composition │
└─────────────────┘ └─────────────┘ └─────────────────┘
│ │ │
└─────────────────┼─────────────────┘
│
┌──────▼──────┐
│ Discourse │ ← Reviewers debate findings
└──────┬──────┘
│
┌──────▼──────┐
│ Synthesis │ ← Unified, prioritized feedback
└─────────────┘
Note: OCR does not replace human code review. The goal is to reduce the burden on human reviewers by catching issues earlier — so human review is faster and more focused on things machines can't catch.
The dashboard is the recommended way to run reviews, browse results, and manage your workflow. Launch it with ocr dashboard.