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Welcome to the first episode of Quest to Compile 🎮 In this episode, we explore how GitHub Copilot + Unity MCP (Model Context Protocol) changes modern game development workflows. Instead of constantly switching between VS Code and Unity, you can have Copilot interact directly with the Unity Editor to create scenes, generate scripts, validate changes in real time, and more. We walk through setup, best practices, and a hands-on demo where we build a playable Unity prototype from prompts using Unity, .NET, and GitHub Copilot. Along the way, expect a bit of sibling banter--because building games runs in the family. 🚀 What You’ll Learn How to connect GitHub Copilot to Unity using MCP What Model Context Protocol (MCP) is and why it matters How AI can create and modify Unity scenes in real time How to use Copilot instructions, custom agents, and skills How to debug AI workflows (permissions, disconnects, domain reloads) How to prototype gameplay quickly using AI-assisted development ⏱️ Chapters 00:00 Intro: Stop Alt-Tabbing Between VS Code and Unity 00:23 What Unity MCP + Copilot Can Do 01:57 Installing Unity MCP (AI Assistant Package) 04:02 Understanding MCP: Bridge, Relay, and Tools 06:02 What Is Model Context Protocol (MCP)? 08:16 Tool Permissions and Execution Model 09:00 Setting Up MCP in VS Code 10:17 Registering the Unity MCP Server 15:00 Best Practices: Instructions, Agents, and Skills 16:06 Auto-Generating Project Context with MCP 17:36 Custom Agents for Game Development 19:56 Skills vs Agents Explained 23:06 Demo: Building a Scene with AI Prompts 36:42 Key Takeaways and Best Practices 37:10 Extending MCP with Custom Tools 🔗 Links & Resources Learn about GitHub Copilot: https://github.com/features/copilot Unity MCP documentation: https://on.unity.com/AIDocumentation Visual Studio Code: https://code.visualstudio.com/ 📺 Watch the full series: aka.ms/Quest-to-Compile 🏷️ Hashtags #GameDevelopment #Unity3D #DotNet #GitHubCopilot #AIDevelopment #VSCode #IndieDev #gamedev #GameDevTools #Programming #SoftwareEngineering #AIForDevelopers #BuildInPublic #DevWorkflow #CSharp #UnityDev