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MongoDB, Inc. (NASDAQ: MDB) and Amazon Web Services, Inc. (AWS), an Amazon.com (NASDAQ: AMZN) company, have announced a collaboration to optimise Amazon CodeWhisperer to provide enhanced suggestions for application development and modernisation on MongoDB’s industry-leading developer data platform that millions of developers and tens of thousands of customers rely on every day for business-critical applications.

Trained on billions of lines of Amazon and publicly available code, Amazon CodeWhisperer is an artificial intelligence (AI)-powered coding companion from AWS that generates code suggestions based on natural-language comments or existing code in developers’ integrated development environments (IDEs).

Leveraging the Power and Potential of AI

Working together with AWS, MongoDB provided curated training data for MongoDB use cases and took part in the evaluation of Amazon CodeWhisperer outputs throughout the training process to promote high-quality code suggestions. While Amazon CodeWhisperer already provided support for building applications on MongoDB, developers can now get enhanced suggestions that reflect best practices, allowing developers to ideate more quickly, rapidly prototype new features, and accelerate application development.

“Generative AI has the potential to not only revolutionise how end users interact with modern applications but also how developers build those applications,” said Andrew Davidson, SVP of Product at MongoDB. “Collaborating with AWS to train Amazon CodeWhisperer on MongoDB is a step in that direction, and developers can now build more quickly and focus on higher-value tasks. With built-in security scanning and the ability to provide source and licencing information when suggestions resemble publicly available open source training data, Amazon CodeWhisperer now provides developers building on MongoDB a unique experience that will get even better over time.”

“More and more developers are realizing the potential of generative AI-powered coding companions to transform how work gets done, giving them more time to focus on solving hard problems,” said Deepak Singh, VP of Next Gen Developer Experience at AWS. “Amazon CodeWhisperer already provides an optimized experience when working on common coding tasks and with AWS APIs. By collaborating with MongoDB, we are extending those capabilities to millions of MongoDB developers. We are excited to put Amazon CodeWhisperer in the hands of even more developers to help them tap into the transformative potential of generative AI.”

Reducing Repetitive Tasks to Focus on Value Creation

As organisations today accelerate deployment of cloud-native applications, developers want to find ways to reduce repetitive tasks so they can focus on building new applications and shipping new features. IDC estimates that 750 million cloud-native applications will be built in the next two years, and that number will likely increase as enterprises and startups alike take advantage of generative AI for both building applications and reinventing end-user application experiences.

Developers want to integrate generative AI-powered coding assistants into their day-to-day workflow to help them increase their productivity and focus on harder problems. However, these assistants are often trained on publicly available datasets or a company’s own internal data, and some tools developers build with may not have high-quality, publicly available code samples included as part of a coding assistant’s training data.

As a result, these coding assistants can provide some support for these tools, but the recommendations may not conform to best practices. While developers have realized the potential benefit for AI-powered coding companions across many tasks, they want these solutions to be further optimized for the tools they use today so they can unlock the full potential of generative AI across their day-to-day work.

Modernising Quickly and Efficiently

Through this new collaboration to train and evaluate Amazon CodeWhisperer on code and libraries specific to MongoDB, developers can get enhanced suggestions for MongoDB to help them more quickly build and modernise their applications. AWS and MongoDB worked together to train Amazon CodeWhisperer on highly curated content and code from MongoDB documentation, detailed use cases, and common tasks with best practices that developers encounter when working with data on MongoDB. As a result, Amazon CodeWhisperer can help developers more quickly write high-quality code when building data aggregations, performing database operations, and accelerating migration of applications to MongoDB for modernization.

These optimisations are available for five of the most common programming languages used to build with MongoDB, including C#, Go, Java, JavaScript, and Python, while also allowing developers to take advantage of core Amazon CodeWhisperer features, including built-in security scanning and a reference tracker that provides information about the origin of a code suggestion when it resembles open source training data.

Amazon CodeWhisperer is free for individual developers with no qualifications or time limits for generating code, so the entire MongoDB community can start taking advantage of Amazon CodeWhisperer’s enhanced suggestions.

To get started, developers simply install the Amazon CodeWhisperer extension for their preferred IDE, provide an AWS Builder ID, and begin using the service for code completion and generation. It now helps reduce the amount of time developers spend creating code for building data-driven applications on MongoDB and will continue to be trained to improve and refine code suggestions.

Visit mongodb.com/products/integrations/amazon-codewhisperer to get started building applications on MongoDB with Amazon CodeWhisperer.

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