Coordinate Codex and local Claude Code for engineering, review, and automation workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cc-in-codex" yet — see the docs or source repo.
Using cc-in-codex, have Claude Code implement a Python CLI that reads a CSV and aggregates by a specified column. First provide task breakdown, interface design, and a review checklist, then review Claude Code’s implementation quality and suggest fixes.
A development plan and review criteria first, followed by implementation results, code review feedback, and suggested revisions.
Use cc-in-codex to coordinate Claude Code in refactoring the authentication module in the current repo: first analyze existing issues and risks, assign Claude Code to refactor and add tests, then perform a second review focusing on maintainability, error handling, and test coverage.
Receive issue analysis, a summary of refactored code changes, added test coverage, and improvement notes from the follow-up review.
Through cc-in-codex, assign Claude Code to handle engineering chores: update project dependencies, fix lint errors, run tests, and summarize failure causes. You should define execution order, review whether changes are safe, and produce the final report.
Produce execution steps, a summary of code changes and test results, a safety review conclusion, and recommended next actions.
Collaborate with Codex in Claude Code for coding, edits, and debugging.
Let AI coding tools safely call Codex for development and automation tasks.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Get technical advice, code reviews, and explanations via Codex CLI.
Run restartable multi-agent coding workflows with live monitoring and bug-finding control.
Delegate code investigation, edits, and verification to Claude Code with background job management.