Introducing improved AI assistance in Amazon SageMaker Unified Studio

Today, we are announcing improvements to the Amazon Q Developer chat experience in Amazon SageMaker Unified Studio Jupyter notebooks and adding [Amazon Q Developer in the command line](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line.html) in Jupyter notebooks and Code Editor. By integrating with Model Context Protocol (MCP) servers, Amazon Q Developer is aware of your SageMaker Unified Studio [project](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/projects.html) resources, including data, compute, and code, and provides personalized assistance for data engineering and machine learning development work. These new capabilities provide highly relevant responses to assist with tasks like code refactoring, file modification, and troubleshooting. This helps data scientists and data engineers quickly set up their integrated development environments and work more efficiently while maintaining transparency into how the AI assistant is acting on their behalf. These features are available at no additional cost with the Amazon Q Developer Free Tier in all [AWS Regions](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html) where Amazon SageMaker Unified Studio is available. To make even more use of these features, we recommend enabling Amazon Q Developer Pro. To do so, please refer to the [documentation](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/amazonq.html).