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Monday, December 23, 2024

AWS named as a Chief within the first Gartner Magic Quadrant for AI Code Assistants


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On August nineteenth, 2024, Gartner revealed its first Magic Quadrant for AI Code Assistants, which incorporates Amazon Internet Providers (AWS). Amazon Q Developer certified for inclusion, having launched in normal availability on April 30, 2024. AWS was ranked as a Chief for its skill to execute and completeness of imaginative and prescient.

We imagine this Chief placement displays our speedy tempo of innovation, which makes the entire software program improvement lifecycle simpler and will increase developer productiveness with enterprise-grade entry controls and safety.

The Gartner Magic Quadrant evaluates 12 AI code assistants primarily based on their Potential to Execute, which measures a vendor’s capability to ship its services or products successfully, and Completeness of Imaginative and prescient, which assesses a vendor’s understanding of the market and its technique for future development, in accordance with Gartner’s report, How Markets and Distributors Are Evaluated in Gartner Magic Quadrants.

Right here is the graphical illustration of the 2024 Gartner Magic Quadrant for AI Code Assistants.

Right here is the quote from Gartner’s report:

Amazon Internet Providers (AWS) is a Chief on this Magic Quadrant. Its product, Amazon Q Developer (previously CodeWhisperer), is concentrated on aiding and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code solutions and transformation, testing and safety, in addition to function improvement. Its operations are geographically various, and its purchasers are of all sizes. AWS is concentrated on delivering AI-driven options that improve the software program improvement life cycle (SDLC), automating advanced duties, optimizing efficiency, making certain safety, and driving innovation.

My crew focuses on creating content material on Amazon Q Developer that straight helps software program builders’ jobs-to-be-done, enabled and enhanced by generative AI in Amazon Q Developer Heart and Group.aws.

I’ve had the prospect to speak with our clients to ask why they select Amazon Q Developer. They stated it’s out there to speed up and full duties throughout the SDLC far more than normal AI code assistants—from coding, testing, and upgrading, to troubleshooting, performing safety scanning and fixes, optimizing AWS sources, and creating information engineering pipelines.

Listed here are the highlights that clients talked about extra typically:

Out there all over the place you want it – You should use Amazon Q Developer in any of the next built-in improvement atmosphere (IDE), together with Visible Studio Code, JetBrains IDEs, AWS Toolkit with Amazon Q, JupyterLab, Amazon EMR Studio, Amazon SageMaker Studio, or AWS Glue Studio. You can even use Amazon Q Developer within the AWS Administration Console, AWS Command Line Interface (AWS CLI), AWS documentation, AWS Help, AWS Console Cell Software, Amazon CodeCatalyst, or by Slack and Microsoft Groups with AWS Chatbot. In keeping with Secure Software program, “Amazon Q is aware of all of the methods to utilize the various instruments that AWS offers. As a result of we are actually capable of accomplish extra, we can lengthen our automations into different AWS providers and make use of Amazon Q to assist us get there.” To be taught extra, go to Amazon Q Developer options and Amazon Q Developer clients.

Customizing code suggestions – You will get code suggestions primarily based in your inside code base. Amazon Q Developer accelerates onboarding to a brand new code base to generate much more related inline code suggestions and chat responses (in preview) by making it conscious of your inside libraries, APIs, finest practices, and architectural patterns. Your group’s directors can securely join Amazon Q Developer to your inside code bases to create a number of customizations. In keeping with Nationwide Australia Financial institution (NAB), NAB has now added particular solutions utilizing the Amazon Q customization functionality which might be tailor-made to the NAB coding requirements. They’re seeing elevated acceptance charges of 60 % with customization. To be taught extra, go to Customizing solutions within the AWS documentation.

Upgrading your Java purposesAmazon Q Developer Agent for code transformation automates the method of upgrading and reworking your legacy Java purposes. In keeping with an inside Amazon research, Amazon has migrated tens of 1000’s of manufacturing purposes from Java 8 or 11 to Java 17 with help from Amazon Q Developer. This represents a financial savings of over 4,500 years of improvement work for over a thousand builders (when in comparison with guide upgrades) and efficiency enhancements price $260 million {dollars} in annual value financial savings. Transformations from Home windows to cross-platform .NET are additionally coming quickly! To be taught extra, go to Upgrading language variations with the Amazon Q Developer Agent for code transformation within the AWS documentation.

Entry the entire 2024 Gartner Magic Quadrant for AI Code Assistants report to be taught extra.

Channy

Gartner Magic Quadrant for AI Code Assistants, Arun Batchu, Philip Walsh, Matt Brasier, Haritha Khandabattu, 19 August, 2024.

Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications and doesn’t advise expertise customers to pick out solely these distributors with the best scores or different designation. Gartner analysis publications include the opinions of Gartner’s analysis group and shouldn’t be construed as statements of reality. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a specific goal.

GARTNER is a registered trademark and repair mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its associates within the U.S. and internationally and are used herein with permission. All rights reserved.



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