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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 Read More Microsoft Developer
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