Developing AI models and intelligent applications shouldn’t mean jumping between tools. In this session, learn how to explore different models, iterate on prompts, run evaluations, and build and deploy agents—all within VS Code—using the AI Toolkit, Azure AI Foundry, the Azure SDK, and Model Context Protocol (MCP). Streamline your workflow and bring AI-powered solutions to life faster.

To learn more, please check out these resources:
 * https://aka.ms/build25/plan/ADAI_DevStartPlan
 * https://aka.ms/build25/github/BRK117
 * https://aka.ms/AIToolsPack
 * https://aka.ms/AIDevTools/Build2025
 * https://aka.ms/get-copilot


𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
 * Lori Fraleigh
 * Rong Lu


𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com

BRK117 | English (US) | Developer Tools & .NET


Related Sessions:
BRK118 -- https://build.microsoft.com/sessions/BRK118?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
BRK111 -- https://build.microsoft.com/sessions/BRK111?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
BRK102 -- https://build.microsoft.com/sessions/BRK102?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2
DEM513 -- https://build.microsoft.com/sessions/DEM513?wt.mc_id=yt_PLlrxD0HtieHgzfZCDP1dYD-AvB7zrQ7O2


#MSBuild

Chapters:
0:00 - Introduction and Welcome
00:10:31 - Adding and Reversing 'To Do' Items in MCP Server
00:15:38 - App Architecture Overview
00:18:03 - VS Code AI Toolkit Features and Model Access
00:25:44 - Setting Up AI Agent with Tools and Custom Prompts
00:29:56 - Location and Weather Response Elements
00:45:09 - Implementation of GPT-4 Model on Azure AI Foundry
00:46:02 - Exploring Details of Deployed GPT-4 Model
00:51:04 - Securing and Using File Storage in Azure for AI Models

Microsoft Developer

The post discusses using VS Code to develop and deploy AI applications and agents with Azure services. It covers creating local AI agents using MCP servers for tool interfacing, employing GitHub Copilot for code generation, and utilizing Azure for scaling and deployment. It highlights the use of the Azure AI toolkit extension for model selection, prompt generation, and the configuration of AI agents. The post also showcases how to integrate Azure Foundry for secure and enterprise-scale AI agent management.

Use VS Code to build AI apps and agents | BRK117