Build an AI agent without leaving VS Code
Summary
Microsoft's Foundry Toolkit lets developers build and test AI agents directly within VS Code. The video demonstrates creating an agent, deploying a model, configuring prompts, and connecting to a server. It covers testing agent interactions with live tools, inspecting traces, and setting up evaluations. This workflow aims to streamline the development of production-ready AI applications by integrating agent creation and testing into a familiar developer environment.
Why it matters
This video showcases Microsoft's commitment to integrating AI agent development into existing developer workflows, specifically within VS Code. By providing the Foundry Toolkit, Microsoft targets developers looking to build and test complex AI agents without leaving their primary coding environment. This approach contrasts with some competitors who might offer separate platforms or cloud-based tools. The focus on observability and repeatable testing suggests an enterprise-oriented solution. Future developments will likely focus on expanding the toolkit's capabilities and model support.
Related: OpenAI: First impressions of GPT-6 Astra from developers · Google: End-to-end agentic development with Google Gemini, Antigravity, and GitLab · Anthropic: Anthropic Cookbook: feat(claude_agent_sdk): add scheduled repository reviewer recipe (#860) · Meta: Meta Muse Code & Muse Spark Course – Build AI Agents, APIs, and Full-Stack Apps · xAI: OpenAI cuts out SpaceX-owned Cursor
Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
- What is the Microsoft Foundry Toolkit?
- The Microsoft Foundry Toolkit helps developers build AI agents. It allows configuration, deployment, and testing of agents directly within the VS Code environment.
- How does this video demonstrate testing AI agents?
- The video shows testing an agent's ability to use shop prompts and live ordering tools. It also covers inspecting observability traces and setting up agent evaluations for repeatable testing.
- What model is used in the demonstration?
- The demonstration uses a model referred to as GPT-5.4, which is selected and deployed through the Foundry Project.
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