TLDR: Amazon Web Services (AWS) has announced a new capability allowing AI developers and machine learning engineers to connect their local Visual Studio Code (VS Code) environments directly to Amazon SageMaker Studio. This integration, launched on July 10, 2025, aims to streamline AI workflows by combining the flexibility of a customized local IDE with the scalable compute and robust security of SageMaker Studio.
On July 10, 2025, Amazon Web Services (AWS) unveiled a significant enhancement for AI developers and machine learning (ML) engineers: the ability to connect Amazon SageMaker Studio directly from their local Visual Studio Code (VS Code) environments. This new feature is designed to ‘supercharge AI workflows’ by allowing users to leverage their preferred local development setup, including AI-assisted development tools, custom extensions, and debugging tools, while seamlessly accessing the powerful compute resources and data within SageMaker Studio.
This integration addresses a long-standing need to bridge the gap between local development preferences and cloud-based machine learning resources. Previously, developers using local IDEs like VS Code faced challenges in easily running their model development tasks on SageMaker AI. The new remote connection capability aims to minimize context switching and facilitate secure access to SageMaker AI resources, enabling rapid scaling of model development.
Key benefits of this new capability include:
Familiar Development Environment with Scalable Compute: Developers can continue to work in their familiar VS Code environment, retaining their preferred themes, shortcuts, extensions, and productivity tools, while harnessing the purpose-built model development environment of SageMaker AI. This allows them to run their AI and ML workloads in SageMaker’s compute environments.
Simplified Operations: The integration significantly reduces the complex configurations and administrative overhead typically associated with setting up remote access to SageMaker Studio spaces. With just a few clicks, users gain direct access to Studio spaces from their IDE.
Enterprise-Grade Security: The connection between the local IDE and SageMaker AI benefits from automatic credentials management and session maintenance, ensuring secure communication. Furthermore, code execution remains within the controlled boundaries of SageMaker AI, maintaining the same security parameters as the SageMaker Studio web environment.
Developers have multiple options to initiate a connection: directly from the SageMaker Studio web interface by choosing ‘Open in VS Code’ (deep link), through the AWS Toolkit extension in VS Code by browsing available SageMaker Studio spaces, or even via SSH from their IDE terminal. Once connected, developers can utilize their custom VS Code extensions and tools, remotely access and use their space’s storage, run AI and ML workloads, and work with notebooks within their preferred IDE.
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This innovation is part of AWS’s continuous effort to enhance Amazon SageMaker AI, which has seen over 420 new capabilities added since its launch in 2017. The remote connection feature is currently available in the US East (Ohio) Region, promising to accelerate the development, training, and deployment of machine learning, deep learning, and generative AI models by providing a more flexible and efficient development experience.
