Pairon · private beta
Multiplayer AI coding guides
Practical guides to team AI coding: multiplayer sessions, Claude Code and Codex collaboration, AI pair programming, shared context, and parallel work.
Updated
Start with one useful task and a teammate. These guides explain how to share coding-agent work, keep decisions visible, and review the result before adding more agents.
Find the workflow you need
What is multiplayer AI coding?
Learn what multiplayer AI coding means, how shared agent sessions differ from screen sharing, and how teams coordinate work in Pairon.
AI pair programming with your team
A practical AI pair programming workflow for two developers: share the problem, contribute constraints, guide the coding agent, and review the result.
Claude Code team collaboration with Pairon
Work with Claude Code as a team in Pairon: connect a computer, share a conversation, assign participant roles, and review agent changes together.
Codex team collaboration with Pairon
Use Codex with teammates in Pairon: run the CLI on a connected computer, contribute to a shared conversation, review changes, and hand off context.
Shared context for AI coding agents
Keep team decisions useful across AI coding sessions. Learn how conversation history, project memory, and handoff briefs work together in Pairon.
Run AI coding agents in parallel with your team
A practical guide to parallel AI coding: split independent tasks, assign lanes and branches, agree on interfaces, and review conflicting changes.
Check the product details
Pairon is in private beta. Read how shared sessions work, check the supported coding agents, and understand computer permissions and data handling before connecting your project.
The Codex project-memory benchmark reports a bounded measurement with its methods and limits. These workflow guides do not claim a measured team productivity improvement.