Guides for running AI coding agents as a team

Practical, tested advice for developers who use Claude Code, OpenAI Codex, Pi and other terminal agents together. Setup walkthroughs, architecture trade-offs and the details that make multi-agent work reliable.

How to run Claude Code and OpenAI Codex together as one team

Why pairing a careful planner and reviewer with a fast implementer works, and a step-by-step setup that runs both CLIs in tmux with your existing logins, from install to resuming the team the next morning.

  • Claude Code
  • OpenAI Codex
  • Setup guide
  • Multi-agent

Why local AI agents need process supervision, not heavy background daemons

Always-on orchestrator servers and database queues hang, leak memory and misreport delivery on developer machines. Seven principles for lightweight, stateless supervision, and how to verify a 0 MB idle footprint yourself.

  • Architecture
  • Process management
  • Memory
  • Reliability

Reliable messaging between terminal AI agents: native PTY vs. API wrappers

Interactive CLIs have no inbound API. Compare API wrappers, naive tmux send-keys and native PTY delivery, and learn the six guarantees that keep messages from being lost or delivered twice.

  • Agent communication
  • tmux
  • PTY
  • MCP