Visual Studio Code, with presenter April Gittens, demonstrates how to use the AI Toolkit to connect GitHub Copilot with Azure AI Foundry models, covering project creation, model deployment, and developer workflow enhancements.

Integrating Azure AI Foundry Models with GitHub Copilot via AI Toolkit

Presenter: April Gittens (@prettywiredbuilds)

This video tutorial guides developers through integrating Azure AI Foundry models directly with GitHub Copilot by leveraging the AI Toolkit extension in Visual Studio Code.

Video Chapters and Workflow

  1. Introduction (00:00)
    • Overview of the integration between GitHub Copilot and Azure AI Foundry models.
  2. Creating an Azure AI Foundry Project (00:22)
    • Step-by-step instructions to create a new project within Azure AI Foundry.
  3. Installing the AI Toolkit Extension (02:12)
    • How to install the AI Toolkit extension in Visual Studio Code, allowing Copilot to work with custom AI models.
  4. Signing in to Azure (03:40)
    • Guidance on authenticating your Azure account within the development environment.
  5. Setting the Default Azure AI Foundry Project (04:02)
    • Configuration steps to connect the toolkit extension with your Foundry project.
  6. Deploying a Model (05:09)
    • Deploying both cloud and local models to Azure, with practical demonstration.
  7. Adding Azure AI Foundry Models to GitHub Copilot (09:07)
    • Linking the deployed models to GitHub Copilot using the AI Toolkit, enabling Copilot to use your Azure-hosted models as its suggestion engine.
  8. Using a Foundry Local Model with Copilot (12:13)
    • Deploying and integrating a local model from Azure AI Foundry into your Copilot workflow.
  9. Conclusion (15:11)
    • Recap and final tips for streamlining developer productivity by customizing Copilot’s underlying AI model.

Key Takeaways

  • AI Toolkit Extension: Essential Visual Studio Code add-on for model integration.
  • Model Flexibility: Enables use of both Azure-deployed and local Foundry models.
  • Enterprise Integration: Supports secure, scalable model hosting within Azure for enhanced developer workflows.
  • End-to-End Demo: Practical demonstration, with real configuration steps and usage tips.

More information & resources

Visual Studio Code and April Gittens present an actionable guide for developers seeking to extend GitHub Copilot through Azure AI Foundry integration, combining cloud AI flexibility with the power of Microsoft’s developer ecosystem.