microsoft/Build26-OD836-from-test-kitchen-to-table-a-demo-driven-tour-of-foundry-portal-for-ai-developers

microsoft/Build26-OD836-from-test-kitchen-to-table-a-demo-driven-tour-of-foundry-portal-for-ai-developers

Description: Demo walkthrough from rapid experimentation in Foundry portal's playground to production-ready agent deployment — workflow design, model management, and observability for developers. From Microsoft Build 2026.

Language: Shell

License: MIT

Stars: 1

Forks: 0

Open issues: 0

Created: 2026-05-07T22:21:50Z

Pushed: 2026-06-09T14:07:26Z

Default branch: main

Fork: no

Archived: no

README:

Microsoft Build 2026

🔥 OD836: From Test Kitchen to Table: A Demo-driven Tour of Foundry Portal for AI Developers

Session Description

Follow a live journey from rapid experimentation in the Foundry portal's playground to production-ready agent deployment. Discover how the portal's user interface streamlines workflow design, model management, and monitoring, making it easy for developers to discover, build, iterate, and manage their artificial intelligence solutions in a manner that complements their code-first mindset. By mapping each portal capability to familiar developer tasks, we will also reinforce how the portal enhances the code-first experience with richer observability features to give a more comprehensive understanding of system behaviors that may not be visible through code alone.

🎥 Watch the session

[](https://build.microsoft.com/en-US/sessions/OD836)

> Click the image above to watch the full session on the Microsoft Build site: From Test Kitchen to Table: A Demo-driven Tour of Foundry Portal for AI Developers.

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🚀 Getting started

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

• Create an Azure subscription if you don't have one.
• Go to Microsoft Foundry.
• Create your first Foundry project.

You might need an Azure subscription to follow the steps in this repo. If you need one, start your free journey here: https://aka.ms/devrelft

The Azure free trial provides $200 credit for 30 days. Some features may incur costs after the trial. Check the Azure pricing calculator to estimate costs.

Important

Free tier limitations: The Azure free subscription has significant constraints that may prevent full implementation of this repo:

• Model access: Some advanced models such as GPT-5 and Claude may not be available or may have very limited quotas.
• Rate limits: Strict API call limits such as requests per minute and tokens per day.
• Region restrictions: Free tier resources may only be available in limited regions.
• Feature restrictions: Some Microsoft Foundry features such as agent orchestration and evaluations may require pay-as-you-go.
• Credit exhaustion: $200 credit can be consumed quickly with heavy AI model usage.

Recommendation: For full functionality, consider a pay-as-you-go subscription or request access to Azure for Students ($100 credit, no credit card required) or the Microsoft for Startups Founders Hub.

🧠 Learning Outcomes

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

• Explain how to move from rapid prototyping in Microsoft Foundry portal to production-ready agent deployment.
• Use the portal workflow to iterate on models and prompts, then evaluate quality and safety before release.
• Apply built-in observability and monitoring capabilities to understand agent behavior and improve reliability.

💬 Keep Learning with Copilot

Try these prompts with GitHub Copilot to explore the topics from this session. 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!

> *Show me how to set up my first Microsoft Foundry project from the user interface, starting from an Azure subscription and ending with a created project. Include the exact clicks and what I should verify at each step.*

💻 Technologies Used

1. Microsoft Foundry 1. Foundry portal 1. Foundry Agents service 1. Foundry Observability

📚 Resources and Next Steps

| Resource | Description | |:---------|:------------| | https://aka.ms/build26-next-steps | Explore lab and session repos to further your learning from Microsoft Build | | Watch the session recording | Watch the recorded Microsoft Build session. |

🌟 Microsoft Learn MCP Server

The Microsoft Learn MCP Server gives your AI agent direct access to Microsoft's official documentation — grounded, up-to-date answers about the products and services covered in this session.

Visual Studio Code — One click installation:

GitHub Copilot CLI — Run this to install the Learn MCP Server as a plugin:

/plugin install microsoftdocs/mcp

For more info, other clients, and to post questions, visit the Learn MCP Server repo.

Content Owners

Nitya Narasimhan

📢

Carlotta Castelluccio

📢

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit Contributor License Agreements.

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 follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional…