Amazon announced the public preview launch of its GenAI-powered App Studio service. The platform — which is geared toward professionals who lack extensive software development skills — builds full-featured, enterprise-level apps using natural language prompts. Users simply describe what they would like the app to accomplish and the data sources available to it and App Studio will produce in minutes what the company claims, “could have taken a professional developer days to build from scratch.” The announcement was made during this week’s AWS Summit in New York City.

In a product announcement, Amazon lists IT project managers, data engineers, and enterprise architects as examples of those who could benefit from using App Studio.

At the AWS Summit, Amazon demonstrated a real-life example of App Studio functionality, showing how “it can take a request for an invoice-tracking app, for example, and lay out suggestions for how it should work,” writes ZDNet. “Once the user approves the overview and App Studio creates the app, the user can edit it with easy-to-use drag-and-drop functions before deploying it.”

AWS “defines enterprise apps as having multiple UI pages with the ability to pull from multiple data sources, perform complex operations like joins and filters, and embed business logic in them,” TechCrunch reports.

Once created, users can adjust the application using a “point-and-click” interface. “They can also ask the built-in generative AI assistant if they need guidance on solving a particular problem,” IT Pro explains. On completion, the app can be put through what TechCrunch calls “a mini DevOps pipeline” to be tested before prior to production.

AWS “claims App Studio is better than not only traditional development but also most low-code development tools, which do the job but fail to produce fully secure apps that comply with enterprise privacy and security policies,” notes VentureBeat, adding that “multiple enterprises have already signed up for it and are using it to build applications capable of handling internal processes and workflows.”