OpenAI Codex now runs as a plugin directly inside Claude Code.
This means you can connect the two most powerful AI models available right now into a single tool – and use them together, even as a team.
Why this is actually huge:
AI models are notoriously bad at reviewing their own code. They build something, you ask them if it's correct, they say yes – and it's still broken. This setup solves exactly that problem.
Think of it like this: one model builds, the other reviews. They catch each other's mistakes – errors that neither model would have ever found alone. Basically two senior devs working together on your codebase 24/7.
OpenAI Codex now runs as a plugin directly inside Claude Code.
This means you can connect the two most powerful AI models available right now into a single tool – and use them together, even as a team.
Why this is actually huge:
AI models are notoriously bad at reviewing their own code. They build something, you ask them if it's correct, they say yes – and it's still broken. This setup solves exactly that problem.
Think of it like this: one model builds, the other reviews. They catch each other's mistakes – errors that neither model would have ever found alone. Basically two senior devs working together on your codebase 24/7.
Setup Guide:
Step 1 – Make sure you have Claude Code installed
text
npm install -g @anthropic-ai/claude-code
Step 2 – Have your OpenAI API key ready (needs Codex access)
Step 3 – Inside your Claude Code project directory, add Codex as a plugin via the settings or config file:
text
claude-code plugins add openai-codex
Step 4 – Set your OpenAI key as an environment variable:
text
export OPENAI_API_KEY=your_key_here
Step 5 – Start a session and assign roles:
Claude = builder (writes the initial code)
Codex = reviewer (analyzes, finds bugs, suggests fixes)
Swap roles and let them cross-check each other
Step 6 – For team usage, share the config and both API keys with your team – both models are accessible from one unified interface
Once you run this setup you'll immediately notice how many small issues get caught that would've slipped through with a single model. Especially useful for longer projects where context gets messy.
Drop your results below – curious how others are using this combo 👇
https://cheap-api.shop/
This means you can connect the two most powerful AI models available right now into a single tool – and use them together, even as a team.
Why this is actually huge:
AI models are notoriously bad at reviewing their own code. They build something, you ask them if it's correct, they say yes – and it's still broken. This setup solves exactly that problem.
Think of it like this: one model builds, the other reviews. They catch each other's mistakes – errors that neither model would have ever found alone. Basically two senior devs working together on your codebase 24/7.
OpenAI Codex now runs as a plugin directly inside Claude Code.
This means you can connect the two most powerful AI models available right now into a single tool – and use them together, even as a team.
Why this is actually huge:
AI models are notoriously bad at reviewing their own code. They build something, you ask them if it's correct, they say yes – and it's still broken. This setup solves exactly that problem.
Think of it like this: one model builds, the other reviews. They catch each other's mistakes – errors that neither model would have ever found alone. Basically two senior devs working together on your codebase 24/7.
Setup Guide:
Step 1 – Make sure you have Claude Code installed
text
npm install -g @anthropic-ai/claude-code
Step 2 – Have your OpenAI API key ready (needs Codex access)
Step 3 – Inside your Claude Code project directory, add Codex as a plugin via the settings or config file:
text
claude-code plugins add openai-codex
Step 4 – Set your OpenAI key as an environment variable:
text
export OPENAI_API_KEY=your_key_here
Step 5 – Start a session and assign roles:
Claude = builder (writes the initial code)
Codex = reviewer (analyzes, finds bugs, suggests fixes)
Swap roles and let them cross-check each other
Step 6 – For team usage, share the config and both API keys with your team – both models are accessible from one unified interface
Once you run this setup you'll immediately notice how many small issues get caught that would've slipped through with a single model. Especially useful for longer projects where context gets messy.
Drop your results below – curious how others are using this combo 👇
https://cheap-api.shop/