What problem does it solve?
Developers often face a fragmented workflow when seeking expert architectural review or code validation from AI agents like Codex. Manually transferring context, losing information between tools, and the overhead of orchestrating multiple AIs leads to slower development cycles and missed architectural issues. This skill automates that entire, complex process.
Core Features & Use Cases
- Automated AI-to-AI Collaboration: Claude Code plans and implements, while Codex CLI provides expert architectural review and code validation, all orchestrated automatically via Bash.
- Persistent Shared Memory: Byterover MCP acts as a central knowledge base, ensuring all plans, feedback, and implementation details are stored and accessible to both AI agents, eliminating context loss.
- Seamless Workflow: From initial feature request to validated implementation, the entire process is automated, requiring zero manual intervention for context transfer or tool switching.
- Use Case: Request a new feature like "Add rate limiting to my Express API." Claude will automatically generate a plan, invoke Codex for review, incorporate feedback into the implementation, and optionally trigger a final code validation by Codex, delivering production-ready code.
Quick Start
Ask Claude:
"Implement rate limiting for my Express API. Have Codex review the architectural plan and validate the final code."
