Amazon made multiple announcements at its AWS Summit in New York, including a preview of AWS App Studio, the addition of Q Developer to SageMaker Studio, and an Amazon Q Apps API.

Amazon App Studio is a generative artificial intelligence powered service that uses natural language to create enterprise-grade applications quickly without requiring software development skills. Users describe in natural language an application they want to build, and App Studio creates an app with a multi-page user interface, a data model, and custom business logic. The design can then be changed using a point-and-click interface.

App Studio handles all deployment, operations, and maintenance, and provides granular access control policies over data, users, and applications.

There were also a number of announcements about various aspects of Amazon Q. Amazon Q is a family of generative artificial intelligence powered assistants that can be tailored to the data in a specific organization. 

The first announcement detailed the addition of Q to Amazon SageMaker Studio. SageMaker is a fully-managed platform that can be used to build, train, and deploy machine learning models. SageMaker Studio supports a number of IDEs for ML development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code – Open Source), and RStudio. The new Amazon Q Developer in SageMaker Studio is built natively into the SageMaker JupyterLab part of Studio. It takes natural language inputs and creates a tailored execution plan, recommending tools for each task, providing step-by-step guidance, generating code to get started, and offering troubleshooting assistance.

Amazon Q Developer has also been updated. It is an AI coding assistant that is available as an extension for JetBrains, Visual Studio Code, and Visual Studio (preview). In the IDE text editor, it suggests code as you type or write entire functions from a comment you enter. The latest announcement adds the ability to customize Amazon Q to generate specific code recommendations from private code repositories in the IDE code editor and in the chat. Amazon says this makes the recommendations more relevant as they are based on an organization's internal libraries, APIs, packages, classes, and methods.

Another announcement is the addition of an API for Amazon Q Apps. This lets users build apps using natural language. Amazon has now released APIs for managing apps, app library and app sessions so developers can create and manage Amazon Q Apps programmatically. Amazon says it means developers can integrate all the functionalities of Amazon Q Apps into the tools and applications of your choice.

More Information

Amazon AWS App Studio Preview

Amazon Q Developer

Amazon SageMaker Studio

Amazon Q

Related Articles

Amazon Previews Q, Its AI-Powered Assistant

Amazon Releases Jupyter Code Analysis Extension

Amazon Introduces RStudio on Amazon SageMaker

To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Twitter, Facebook or Linkedin.

Comments

Make a Comment or View Existing Comments Using Disqus

or email your comment to: comments@i-programmer.info