Azure AI Foundry is a trusted platform for designing, customizing, and managing AI applications, with a portal that enables secure data integration, model customization, and enterprise-grade governance. As developers, we know the pain of context-switching, that’s why we’re thrilled to announce an Azure AI Foundry extension for Visual Studio Code—now available in preview! Once you’ve created your project in the Azure AI Foundry portal, you can get back to VS Code to build, test, and deploy AI agents and large language models (LLMs).
Read more about what’s new in Azure AI Foundry here.
Tell me more…
With the Azure AI Foundry extension, you can:
- Deploy language models from Microsoft, OpenAI, Meta, DeepSeek, and more using the model catalog
- Test deployed models in a model playground
- Start building with deployed models by right-clicking on the model to get the sample code
- Create, deploy, and test agents with Azure AI Agent Service
How do I get started?
- Install the Azure AI Foundry extension from the VS Code marketplace.
- Set the default AI project using the command palette (Ctrl + Shift + P), with the command “Azure AI Foundry: Foundry: Select Default Project”.
- From the Azure icon on the VS Code Navbar, click “Resources”, then select your Azure Subscription and Resource Group.
- Select “Azure AI Foundry” to open your projects.
You can start interacting with your agents and models! To simplify the coding experience in Python and C#, use the Azure AI Foundry extension along with the Azure AI Foundry SDK to integrate Azure AI Foundry capabilities into your apps.
For a full list of features available in the extension, use the Command Palette and search “Azure AI Foundry.”
What’s my next steps?
- New! Install the Azure AI Foundry extension from the VS Code marketplace
- Explore Azure AI Foundry models, agentic frameworks, and toolchain features
- Download the Azure AI Foundry SDK
- Review the Azure AI Foundry documentation
- Take the Azure AI Foundry learn courses
Feedback
Give the extension a try, and please let us know what you think. If you have any questions or feedback, please file an issue on our GitHub repo. Your feedback is invaluable in helping us make continuous improvements. Happy coding!
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