GHU: Building AI Agents with VS Code and GitHub
In this interactive session, you’ll build and deploy an AI agent using the latest AI Toolkit and GitHub Copilot features inside VS Code. You'll start with a prototype setup, where Copilot connects to the AI Toolkit through an MCP server to suggest models, open the model playground, instrument code for tracing, enable viewing traces, and finally deploy the agent to Azure. You’ll leave with a functioning, traced, and deployed agent — plus a repeatable local-to-cloud workflow.
Join the conversation on the Microsoft Foundry Discord: https://aka.ms/AIDevDays/Discord
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Chapters (14)
Welcome & Workshop Overview: AI Toolkit + GitHub Copilot
0:20
Why Combine AI Toolkit with Copilot? Key Benefits
1:01
Setting Up Your Environment: Foundry Project & VS Code Extensions
2:32
Connecting Foundry to VS Code: Default Project Setup
4:41
GitHub Copilot Agent Mode: Recommended Models & Setup
5:36
Demo: Getting Model Recommendations with AI Toolkit Tools
9:19
Testing Models in AI Toolkit Playground: Compare & Choose
12:34
Building Your Agent: Using Agent Builder in VS Code
14:08
Creating MCP Servers: Templates & Workflow in AI Toolkit
16:05
Adding Tools & Improving System Prompts for Your Agent
19:06
Migrating to Code: Generating Agent Code from Agent Builder
21:19
Enabling Tracing with GitHub Copilot & Viewing Traces
23:02
Adding Evaluations: Automated Workflow & Reports
24:17
Workshop Resources & Wrap-Up: AI Toolkit Samples Repo
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