Coordinate multi-agent coding to prevent merge conflicts
Multiple AI agents work in parallel on the same codebase without overwriting each other's changes or creating merge conflicts by sharing interface contracts and intent.
How it works
The agent uses the Aethereum MCP server to establish a coordination layer for AI coding agents (such as Claude Code, Cursor, or Codex). It helps define and share interface contracts, decisions, and intent across different machines and agents. Before acting, the agent should verify that the agents are configured to read from the shared context room to ensure consistency. The agent facilitates the setup of this coordination to prevent silent overwrites and contract drift.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Set up Aethereum to coordinate my team of AI coding agents so they don't overwrite each other's work. Help me define the shared interface contracts and intent that all agents need to read from a common context room to prevent merge conflicts.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
You can run several Claude Code agents on one repo at once. They cannot see each other, so they overwrite each other's work.Blog · Aethereum · coordination layer for AI coding agents