A multi-AI workflow for handling large codebases
This workflow is meant for using AI on very large codebases and monorepos without letting the code become unnecessarily bloated. acts as the , meaning it plans the work and coordinates the overall direction.
GPT-5.5 acts as the implementer, meaning it handles the actual coding work. Tools such as codex-mcp-swarm are used so several AI workers can communicate and work .
claude-context is used for and , so the AI can find the right parts of the codebase more efficiently. The workflow covers quality control, memory, skills, MCP, and multi-agent work, and it is presented as an advanced active setup.
Key points
- is used to coordinate the overall workflow.
- GPT-5.5 is used to implement the code changes.
- codex-mcp-swarm is used for communication between AI workers.
- claude-context is used for and in a large codebase.
- The main goal is to reduce code bloat while working with big monorepos.