Dual-AI workflow uses Claude and Codex to cross-check each other's work
This workflow pairs two different AI models, Claude and Codex, to cross-validate code and development plans. It has two parts.
The first, '/dual-plan', has Claude write a plan while Codex critiques the resulting code. The second, '/', has both models simultaneously review a code diff before it gets merged, tagging the issues each one finds so that problems flagged by both models stand out as higher-confidence bugs.
The goal is to catch mistakes a single model might miss on its own, such as outdated or , commands that no longer work, or advice that is unsafe to follow. It's released as an method, with a reported workflow value score of 90 out of 100, a freshness score of 70, and a confidence rating of 0.95.
Key points
- '/dual-plan': Claude writes the plan, Codex critiques the resulting code
- '/': both models review the same code diff at the same time before merging
- Issues flagged by both models are tagged to boost confidence in real bugs
- Aims to catch , broken commands, and unsafe advice a single model misses
- Released as an workflow anyone can adopt