TUTORIAL: How to use GitHub Copilot AI in Unity Engine with VS Code

YouTube Excerpt: Learn how to integrate AI (GitHub Copilot) with Unity Engine and Visual Studio Code using the AI Game Developer MCP plugin. This comprehensive tutorial covers everything from setup to usage, enabling you to leverage AI for Unity development. 🔗 RESOURCES • AI Game Developer Plugin: https://github.com/IvanMurzak/Unity-MCP • Join Discord: https://discord.gg/cfbdMZX99G • Unity Download: https://unity.com/download • Visual Studio https://code.visualstudio.com/download • GitHub Copilot: https://github.com/features/copilot In this tutorial, you'll learn how to: ✅ Set up Visual Studio Code for Unity development ✅ Install and configure Unity Editor ✅ Integrate GitHub Copilot with Unity ✅ Install the AI Game Developer MCP plugin ✅ Configure the MCP server and tools ✅ Create custom AI tools for Unity ✅ Optimize AI context for better performance ✅ Use AI to manipulate Unity scenes, create scripts, and run tests 📚 CHAPTERS 00:00 - Introduction 00:15 - Download Visual Studio Code 00:28 - Download Unity Editor & Unity Hub 00:44 - Create New Unity Project 01:44 - Project Setup Complete 02:02 - Choose AI Provider (GitHub Copilot) 02:45 - GitHub Copilot Pricing & Models 03:28 - Install AI Game Developer Plugin 04:32 - Import Package into Unity 05:24 - Package Installation Process 06:08 - Configure VS Code for Copilot 07:06 - Open Project in Visual Studio Code 07:35 - AI Game Developer Extension 08:05 - Start MCP Server & Permissions 08:40 - Understanding MCP Tools (45+ Tools Available) 10:08 - Optimize AI Context by Disabling Unused Tools 10:37 - Essential Tools for Developers 11:37 - Server Connection Status 12:01 - Single Instance Requirement 12:30 - Port Configuration 13:38 - Reconnecting to Server 14:00 - Dynamic Tool Management 14:14 - Creating Custom MCP Tools 15:31 - Configuring AI Models (Free vs Paid) 16:11 - Testing AI with Unity Scene 17:03 - Configure Tools in VS Code 17:54 - Disable Default Copilot Tools 18:07 - First AI Prompt Test 19:02 - New Chat for Clean Context 20:06 - Testing Primitive Creation 21:03 - Model Recommendations (Gemini 3 Pro vs GPT) 22:07 - Create Cubes Example 23:15 - View Available AI Tools 23:52 - Change Light Color in Scene 25:17 - Viewing AI-Generated Code & Tool Execution 26:14 - AI Capabilities & Limitations 27:04 - Tips for Better Results (Model Selection & Context Management) 28:00 - Conclusion & Resources 28:20 - What is MCP (Model Context Protocol) ⚡ PRO TIPS 1. Keep context clean - start new chats for different tasks 2. Disable unused tools to free up AI context 3. Use Gemini 3 Pro for complex tasks 4. Provide detailed technical prompts for better results 5. Check available tools with "What tools do you see?" #Unity #GameDev #AI #GitHubCopilot #VisualStudioCode #UnityTutorial #AIGameDevelopment #MCP #GameDevelopment #CodingWithAI #UnityEngine #AITools

Learn how to integrate AI (GitHub Copilot) with Unity Engine and Visual Studio Code using the AI Game Developer MCP plugin. This comprehensive...

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