Amazon Web Services (AWS) introduced a machine learning (ML)-powered service called AWS CodeWhisperer that helps improve developer productivity by providing code recommendations based on developers’ natural comments and prior code. With CodeWhisperer, developers can simply write a comment that outlines a specific task in plain English, such as “upload a file to S3.” Based on this, CodeWhisperer automatically determines which cloud services and public libraries are best suited for the specified task, builds the specific code on the fly, and recommends the generated code snippets directly in the IDE.
Although the cloud has democratized application development by giving on-demand access to compute, storage, database, analytics, and ML, the traditional process of building software applications still requires developers to spend a lot of time writing boilerplate sections of code that aren’t directly related to the core problem that they’re trying…
