TUTORIAL: How to use GitHub Copilot AI in Unity Engine with Visual Studio

Learn how to integrate AI (GitHub Copilot) with Unity Engine and Visual Studio using the AI Game Developer MCP plugin. This 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://visualstudio.microsoft.com/vs/community/
• GitHub Copilot: https://github.com/features/copilot

In this tutorial, you'll learn how to:
✅ Set up Visual Studio 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
0:00 Introduction
0:13 Requirements and Setup
0:17 Installing Unity Engine
0:35 Downloading Unity
0:45 Creating Unity Project
0:59 Setting up project folder
1:14 Selecting Universal 3D template
1:27 Choosing Unity version
1:36 Explaining the connection chain
2:01 Opening Visual Studio
2:14 Important folder location tips
2:52 Selecting correct Unity folder
3:07 Installing GitHub Copilot
3:42 About AI integration options
4:10 Installing AI Game Developer
4:24 Downloading the installer
5:03 Importing the package
5:36 Package Manager overview
6:09 AI Game Developer installed
6:49 Configuring MCP settings
7:54 Creating MCP configuration file
9:09 Setting up mcp.json
10:54 Configuring Visual Studio settings
11:24 Testing the connection
11:43 Enabling AI tools
12:00 Tool optimization tips
13:01 AI context and memory explanation
13:38 Using GPT-4o mini
14:21 Agent mode setup
15:22 Launching MCP server
16:05 Testing AI commands
16:27 Creating game objects with AI
17:00 Connection confirmed
17:25 Understanding AI capabilities
18:00 Creating floor cube
18:17 Creating primitive objects
19:21 AI executing commands
20:20 Creating rotation script
21:47 Testing the script
23:12 Context management tips
23:43 Creating new windows for tasks
24:40 Keeping context clean
26:40 Creating shaders and materials
28:04 Tool configuration importance
29:01 Retrying after errors
30:12 Choosing smarter models
31:01 Context optimization
32:27 Creating silver material
34:11 Creating cartoon outline shader
35:00 AI Game Developer full access explanation
35:48 Roslyn compilation feature
37:25 Script execution capabilities
38:18 Results review
39:05 Conclusion

⚡ 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?"

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Видео TUTORIAL: How to use GitHub Copilot AI in Unity Engine with Visual Studio канала Ivan Murzak 🇺🇦