Skip to main content

Take that, GitHub: AWS launches its own AI coding assistant

AWS
(Image credit: AWS)
Audio player loading…

Seemingly no sector is safe from Amazon, which will now compete with GitHub with a new AI coding assistant from Amazon Web Services (AWS).

The new tool, called Amazon CodeWhisperer, provides developers with machine learning-based suggestions aimed at boosting productivity.

The new tool supports code written in Python, Java, and JavaScript, and integrated development environments (IDEs) such as VS Code, IntelliJ IDEA, PyCharm, WebStorm, and AWS Cloud9.

How does it work?

Amazon says CodeWhisperer will continually examine your code and your comments and present you with syntactically correct recommendations. The tech giant claims the recommendations are synthesized based on your coding style and variable names and “are not simply snippets”.

CodeWhisperer apparently uses multiple contextual clues to drive recommendations, including the cursor location in the source code, code that precedes the cursor, comments, and code in other files in the same projects.

Amazon says the tool was trained “on billions of lines of code” drawn from open-source repositories, internal Amazon repositories, API documentation, and forums.

Users are free to use the recommendations as-is, or they can enhance and customize them as needed.

Support for AWS Lambda Console isn’t currently on the menu but should be available ‘very soon’ according to Amazon.

Though this is likely welcome news for developers, it’s unlikely GitHub is celebrating. The popular coding platform only just announced that its own AI-powered coding assistant, Copilot, has entered general availability.

Developers might need all the help they can get to stay sane. A report from DigitalOcean discovered almost half (42%) are considering leaving their jobs or have already done so this year, calling out issues like lack of time and resources to work on projects.

Will McCurdy

Will McCurdy has been writing about technology for over five years. He has a wide range of specialities including cybersecurity, fintech, cryptocurrencies, blockchain, cloud computing, payments, artificial intelligence, retail technology, and venture capital investment. He has previously written for AltFi, FStech, Retail Systems, and National Technology News and is an experienced podcast and webinar host, as well as an avid long-form feature writer.