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articles/ai-studio/how-to/develop-in-vscode.md

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title: Work with Azure AI projects in VS Code
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titleSuffix: Azure AI Studio
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description: This article provides instructions on how to get started with Azure AI projects in VS Code.
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author: eric-urban
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manager: nitinme
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ms.service: azure-ai-studio
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ms.custom:
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1. Once the compute is running, select **Set up** which configures the container on your compute for you. The compute setup might take a few minutes to complete. Once you set up the compute the first time, you can directly launch subsequent times. You might need to authenticate your compute when prompted.
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> [!WARNING]
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> Even if you [enable and configure idle shutdown on your compute instance](./create-manage-compute.md#configure-idle-shutdown), any computes that host this custom container for VS Code won't idle shutdown. This is to ensure the compute doesn't shut down unexpectedly while you're working within a container. We are working to improve this experience. Scheduled startup and shutdown of the compute should still work as expected.
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> Even if you [enable and configure idle shutdown on your compute instance](./create-manage-compute.md#configure-idle-shutdown), any computes that host this custom container for VS Code won't idle shutdown. This is to ensure the compute doesn't shut down unexpectedly while you're working within a container.
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1. Once the container is ready, select **Launch**. This launches your previously selected VS Code experience, remotely connected to a custom development environment running on your compute instance.
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1. If you selected VS Code (Web), a new browser tab connected to *vscode.dev* opens. If you selected VS Code (Desktop), a new local instance of VS Code opens on your local machine.
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If you selected VS Code (Web), a new browser tab connected to *vscode.dev* opens. If you selected VS Code (Desktop), a new local instance of VS Code opens on your local machine.
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## The custom container folder structure
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