microsoft/Build26-LAB514-ship-ai-apps-fast-with-a-managed-backend-in-microsoft-fabric

microsoft/Build26-LAB514-ship-ai-apps-fast-with-a-managed-backend-in-microsoft-fabric

Language: TypeScript

License: MIT

Stars: 5

Forks: 3

Open issues: 0

Created: 2026-04-02T16:13:38Z

Pushed: 2026-06-10T07:37:24Z

Default branch: main

Fork: no

Archived: no

README:

Microsoft Build 2026

🔥 LAB514: Ship full-stack apps fast with coding agents and a managed backend in Microsoft Fabric

Session Description

Skip the infra plumbing and ship a real enterprise app. In this hands-on lab, build a work-order management app for Contoso DIY's new home services with Fabric Apps—a managed backend giving you database, auth, hosting, functions, storage, and real-time out of the box. Start from a template, deploy to production in one command, then add features through the Copilot CLI without worrying about migrations. Finish by tapping Fabric intelligence to turn app data into insights.

🏫 Getting started in a guided session

To get started in a guided lab session:

• Open the lab environment provided to you
• Sign in to GitHub and to Microsoft Fabric using the credentials shared by the proctor
• Open the [/docs/](./docs/README.md) folder and start with [Step 1: Setup Your Environment](./docs/instructions/01-setup.md)

🏠 Getting started in your own environment

If you're following these steps at your own pace:

• Clone this repository
• Complete [Step 1: Setup Your Environment](./docs/instructions/01-setup.md) to install Node.js, the GitHub Copilot CLI, and the Microsoft Fabric tooling
• Sign in to a Microsoft Fabric workspace where you have permission to deploy apps (note: deploying may incur cloud costs)
• Work through the lab steps starting at [/docs/](./docs/README.md)

🧠 Learning Outcomes

By the end of this lab, you will be able to:

• Bootstrap and deploy a production-ready enterprise app using Fabric Apps templates with a single command
• Use the GitHub Copilot CLI to add new features and evolve your app's data schema without manually managing migrations
• Leverage Microsoft Fabric intelligence (semantic models and data agents) to turn application data into actionable insights

💬 Keep Learning with Copilot

Try these prompts with GitHub Copilot to explore the topics from this lab. Open Copilot Chat in Visual Studio Code (Ctrl+Alt+I on Windows/Linux, Cmd+Shift+I on Mac), paste a prompt, and see what you learn. Try connecting the [Microsoft Learn MCP Server](#-microsoft-learn-mcp-server) for the latest official documentation.

Use these as a starting point — or write your own!

1. Understand Fabric Apps:

Using the Microsoft Learn MCP Server, find the latest documentation on Fabric Apps and explain what problems it solves compared to building an enterprise app from scratch on Azure.

2. Try the Copilot CLI workflow:

Help me install the GitHub Copilot CLI, then walk me through using it to add a new field to an existing TypeScript data model and generate the matching database migration.

3. Build something with a template:

Show me how to bootstrap a new Fabric Apps project from a template, run it locally, and deploy it to a Fabric workspace in one command.

4. Go deeper on data agents:

Using the Microsoft Learn MCP Server, find the latest docs on Microsoft Fabric data agents and walk me through creating one over a semantic model so I can ask natural-language questions about my app's data.

5. Connect from a notebook:

Help me write a Python notebook that connects to a published Fabric data agent using the OpenAI SDK and runs a few sample queries.

💻 Technologies Used

1. [Rayfin](aka.ms/rayfin) 1. GitHub Copilot CLI 1. Microsoft Fabric — semantic models and data agents 1. Visual Studio Code 1. TypeScript

📚 Resources and Next Steps

| Resource | Description | |:---------|:------------| | https://aka.ms/build26-next-steps | Take the next step in your learning journey after Build 2026 | | [Rayfin documentation](aka.ms/rayfin/docs) | Learn about Rayfin CLI and SDK capabilities | | Microsoft Fabric documentation | Learn about Fabric capabilities including data, AI, and apps | | GitHub Copilot CLI documentation | Use Copilot as an agent in your terminal to read, edit, and ship code | | Build a data agent in Microsoft Fabric | Step-by-step guide to creating a Fabric data agent on top of a semantic model | | Microsoft Learn MCP Server | Connect agents to live Microsoft official documentation |

🌟 Microsoft Learn MCP Server

The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the [mcp.json](.vscode/mcp.json) file included in this repo.

For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at https://github.com/MicrosoftDocs/MCP. Find other MCP Servers to connect your agent to at https://mcp.azure.com.

*Note: When you use the Learn MCP Server, you agree with Microsoft Learn and Microsoft API Terms of Use.*

Content Owners

Yohan Lasorsa

📢

Contributing

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When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply…