AWS announced that Amazon SageMaker Studio now includes Amazon Q Developer as a new capability. This generative AI-powered assistant is built natively into SageMaker’s JupyterLab experience and provides recommendations for the best tools for each task, step-by-step guidance, code generation, and troubleshooting assistance.
Amazon Q Developer is designed to simplify and accelerate the ML development lifecycle by allowing users to build, train, and deploy ML models without leaving SageMaker Studio to search for sample notebooks, code snippets, and instructions. It can help with translating complex ML problems into smaller tasks and searching for relevant information in documentation.
The assistant is capable of generating code for various ML tasks, such as training an XGBoost algorithm for prediction or downloading a dataset from S3 and reading it using Pandas. It can also provide guidance for debugging and fixing errors, as well as recommendations for scheduling a notebook job.
JupyterLab in SageMaker Studio can now kick off the model development lifecycle with Amazon Q Developer. It provides chat capability to discover and learn how to leverage SageMaker features for use cases without having to sift through extensive documentation. The assistant can also generate code tailored to the user's needs and provide in-line code suggestions and conversational assistance to edit, explain, and document code in JupyterLab.
Ricardo Ferreira, DevRel for AWS, shares on his X account:
Silly coding mistakes are okay when you're learning a programming language. But not so much as you progress in your software development career. #AmazonQDeveloper can help you with this.
AWS Developer Advocate Romain Jourdan, posted on X:
The generative AI space is moving so fast that it is difficult to catch up. Amazon Q Developer is improving every week too so we wanted to make it easy for developers to know what's new, and what to test.
Other similar tools include RapidMiner, H2O.ai, KNIME, and Alteryx. These tools offer automated machine learning, data preparation, and model deployment capabilities and can help streamline the development process and increase productivity.
Amazon Q Developer is now available in all regions where Amazon SageMaker is generally available. It is available for all Amazon Q Developer Pro Tier users, with pricing information available on the Amazon Q Developer pricing page.