A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.

Local AI pull request reviewer — review GitHub and BitBucket PRs right from your terminal, powered by the Claude Code, Gemini, and Codex CLIs.

AI prompts that teach Claude, ChatGPT, and Cursor to identify and fix OWASP Top 10 vulnerabilities in code. Transform any AI assistant into a security focused code reviewer.

This project analyzes code and generates report using AI. It takes a folder of code, sends it to Claude API, and outputs result to a file.

🤖 AI-powered Git commit message generator and code reviewer - Support Claude, OpenAI, Gemini

Automated iterative planning for Claude Code. 5-actor verification loop (Researcher → Planner → Skeptic → TDD Reviewer → Critic) that iterates until consensus, producing one-shot-ready implementation plans.

Gemini as orchestrator, Claude to code, codex as reviewer

Open Source Proof of Concept for using Claude Code as a Github-integrated code reviewer

Pull request code reviewer powered by Claude

MERN stack mastery tools for Claude Code – code reviewer and test generator for MongoDB, Express, React, and Node.js projects

A Claude Code plugin that uses your signed-in Codex account as an independent reviewer, so Claude cannot claim 'all fixed' until every review finding is actually closed.

Multi-agent code factory. GitHub Issues that write their own code. Claude Code + Codex + Gemini with 3 AI reviewers per PR.

🚀 GodMode Skill for OpenClaw - Autonomous Claude Code multi-agent coding orchestration. 8 specialized agents (@researcher, @architect, @coder, @reviewer, @pm, @devops, @security, @writer) with 7 workflows. Say WHAT, AI decides HOW.

Claude Code 技能：6位AI专家多智能体学术稿件审阅，生成中英双语彩色批注docx，含评分矩阵与改进优先级。| Claude Code skill: Multi-agent academic manuscript review with 6 expert AI reviewers. Generates bilingual (EN-CN) annotated docx with color-coded critique and scoring matrix.

Claude Code Github Action with integrated skill for PR reviews

Cross-LLM iterative code review plugin for Claude Code. Spawns Codex or Gemini as peer reviewer, loops until consensus.

Local-first desktop app for orchestrating multi-provider AI code reviewers (Claude, Codex, Gemini) with live robot characters, meeting synthesis, and follow-up chat

🤖 Production-ready multi-agent AI system orchestrating specialized agents (Planner, Coder, Reviewer, Debugger, Optimizer) with RAG, function calling, and multi-LLM support. Built with FastAPI, React, ChromaDB, GPT-4 & Claude.

AI-powered code review skills for Claude Code and Codex CLI — parallel reviewers, interactive fix workflow

Claude Code plugin for LangChain and LangGraph development. Skills, commands, and reviewer agents for building AI agents, RAG pipelines, and LCEL chains.

Claude Code skill: orchestrates 8 specialized agents (Analyst → PM → Architect → Tech Lead → Developer + parallel SOLID & SRE reviewers → QA) through a full BMAD pipeline with 6 approval gates, docs/ knowledge base, decision logs, and tech debt tracking.

Multi-agent development team for Claude Code. Configurable specialized agents (leader, planner, developer, reviewer, etc.) running in tmux panes, communicating via MCP message bus. Start a team, delegate tasks to the leader, and watch agents collaborate autonomously.

A GitHub action that performs code review using Claude Code

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Completely free and incredibly easy to deploy LLM-powered solution for code reviewing. The architecture is based on Claude Code as the primary reasoning engine, Claude Code Router for dynamic sub-agent invocation, and OpenRouter, which provides access to numerous free-tier LLMs.

Workflow example of Claude Code Action with Amazon Bedrock

Watson - Simple code reviewer daemon with Claude Code

An automated PR reviewer that runs locally with Claude code

Ralphex is a Claude Code plugin that uses Claude Code as planner + implementer, and Codex as code reviewer

A Claude Code skill that optimally assigns PR reviewers using energy-based optimization