INSANE Parallel Coding with Claude Code + Cursor MCP Server

INSANE Parallel Coding with Claude Code + Cursor MCP Server

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AI Summary

Parallel Coding Overview

• Concept: Two clients (Client 1 and Client 2) collaborate on a project using an MCP server that facilitates communication between them.

Setting Up the Environment

• MCP Server: Runs on localhost:8765 to allow the two clients to communicate.
• Clients: Client 1 uses cloud code, while Client 2 interacts through Cursor with a sync bridge to the MCP server.

Communication Process

• Clients send messages to each other to coordinate their work:
  • Client 1 notifies Client 2 when ready to work.
  • Client 2 acknowledges and suggests tasks (e.g., building a simple app).

Project Goal

• Aim to develop a simple photo upload app that stores images locally in an images directory, with each client focusing on a different part of the project (front-end vs. back-end).

Planning with Gemini 2.5 Pro

• Created a structured plan for the project to guide each client.

Implementation Progress

• Both clients worked autonomously, sending messages back and forth to ensure synchronized progress on the project.
• Successfully tested the back-end server and front-end application, demonstrating fast, effective parallel coding.

Conclusion

• Initial tests were promising, showcasing the potential of parallel coding with two clients using different LLMs.
• The video concludes with a call for viewer feedback on continued development of the MCP server.