AI Collaboration FAQs

Question 1

What is AI Collaboration for VS Code?

Accepted Answer

AI Collaboration is an MCP (Model Context Protocol) server that brings enhanced AI assistance directly into VS Code. It intelligently injects your project's context and maintains separate, persistent conversation history for each workspace, streamlining your development workflow.

Question 2

How does AI Collaboration provide project-specific context to the AI?

Accepted Answer

This tool automatically injects crucial project context, including your project's file structure, relevant code files, README content, and package.json details, ensuring the AI understands your specific codebase and current task for more accurate assistance.

Question 3

Which AI models does AI Collaboration support?

Accepted Answer

It offers multi-provider support, allowing you to integrate and consult with leading AI models like Claude, GPT-4, Gemini, and local models via Ollama, giving you diverse perspectives on your code and projects.

Question 4

Does it maintain separate conversation history for different projects?

Accepted Answer

Yes, a core feature is workspace-specific conversation history. Each project gets its own isolated memory, stored in a `.mcp-conversation-history.json` file, ensuring context is relevant and continuous only to that specific project across sessions.

Question 5

What are the main benefits of using AI Collaboration in my development workflow?

Accepted Answer

AI Collaboration significantly boosts developer productivity by providing context-aware AI assistance, simplifying complex research with multi-AI perspectives, and offering streamlined tools for common tasks directly within VS Code, reducing cognitive load and accelerating development.

AI Collaboration

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