Welcome to the GitHub Copilot Hands-on Lab! 🎉
This hands-on lab is designed to help you explore the power of GitHub Copilot across different development scenarios. Whether you're building prototypes, automating workflows, managing infrastructure, or exploring cutting-edge AI integrations, we have a track for you!
Choose your track below and start building amazing things with AI-powered development assistance.
- 🔌 MCP (GitHub, Microsoft Learn, Playwright)
- ☁️ AI-Powered Delivery – Spec2Cloud
- ⚙️ Automate Your Spec Kit
- 💻 Fast Prototyping – Dev/App
- 🏗️ Fast Prototyping – Ops/Infra
- 📜 Scripting Track
This track focuses on building and experimenting with Model Context Protocol (MCP) servers to extend GitHub Copilot with richer contextual awareness. Participants will learn how to set up MCP integrations using sources like GitHub, Microsoft Docs, and Playwright, explore practical examples, and discover "awesome Copilot" patterns that show how external tools and data can be securely exposed to Copilot to improve code generation, testing, and developer workflows.
This lab introduces Spec2Cloud, an AI-powered, specification-driven workflow for turning product ideas into production-ready applications on Azure. Participants will explore how specialized GitHub Copilot agents and structured prompts can guide planning, implementation, and deployment, making it easier to move from requirements to working cloud solutions with stronger consistency and traceability.
In this track, teams will use GitHub Copilot Spec Kit to turn product ideas into working features through structured specifications. Starting from a clear problem statement, participants will define requirements, generate design artifacts, and implement a product feature with Copilot's help, showcasing how spec‑driven development can accelerate delivery, improve clarity, and align engineering output with business intent.
This hands‑on track is all about rapidly building application prototypes using GitHub Copilot. Participants will leverage the GitHub Copilot workshops and labs to scaffold new apps, implement APIs, add business logic, and iterate quickly on features, demonstrating how Copilot can dramatically reduce time‑to‑first‑prototype while maintaining code quality and developer flow.
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This track targets platform engineers and DevOps practitioners who want to move fast on infrastructure and operations. Using the same Copilot workshop labs, participants will prototype infrastructure‑as‑code, CI/CD pipelines, and operational automation, exploring how Copilot can assist with authoring, understanding, and refining scripts, templates, and configurations across cloud and platform scenarios.
Designed for quick wins and broad participation, the scripting track invites attendees to pick a real item from their backlog and implement it using GitHub Copilot. Whether it's a small automation, data transformation, or utility script, this track emphasizes practical use of Copilot for everyday tasks, showing how developers can immediately boost productivity with minimal setup and maximum impact.
💻 Pick a task from your backlog and build it with GitHub Copilot assistance!
- Choose your track based on your interests and skill level
- Click the "Start Lab" link for your chosen track
- Follow the instructions in the lab guide
- Build, experiment, and learn with GitHub Copilot
- Share your results with the community!
Happy Hacking! 🎉 May your code be clean and your Copilot suggestions be ever helpful!