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Open Code Review is an open-source CLI tool that uses LLMs to review code diffs and full files with higher precision than general-purpose AI agents while using 9x fewer tokens. It combines deterministic engineering (file selection, rule matching, positioning) with an agent for dynamic decisions, and has been validated across 200 real pull requests from 50 open-source projects.
- Achieves significantly higher precision and F1 scores than Claude Code with the same underlying model, consuming only ~1/9 of the tokens and completing reviews faster
- Uses hard constraints (precise file selection, smart bundling, fine-grained rule matching, external positioning modules) to eliminate common AI agent failures like incomplete coverage and position drift
- Built on production data from Alibaba's internal use across two years serving tens of thousands of developers and identifying millions of defects
This plugin embeds OpenAI Codex into your Claude Code workflow, letting you run standard, adversarial, or rescue reviews without switching tools. Install via Node.js, authenticate with your ChatGPT subscription or API key, then use /codex:review, /codex:adversarial-review, and /codex:rescue alongside status commands.
- Claude Code now has an official Codex plugin (from openai/codex-plugin-cc) with three review modes: standard, adversarial, and rescue
- Adversarial review is meant for high-stakes changes like migrations, auth, or infra scripts to catch subtle flaws standard review might miss
- It runs through your existing Codex CLI/server, so local auth, config, and MCP setup carry over automatically
- An optional "review gate" can force Codex review before Claude Code finishes, but risks tight loops that rapidly burn usage limits