On August nineteenth, 2024, Gartner revealed its first Magic Quadrant for AI Code Assistants, which incorporates Amazon Net Companies (AWS). Amazon Q Developer certified for inclusion, having launched in basic availability on April 30, 2024. AWS was ranked as a Chief for its means to execute and completeness of imaginative and prescient.
We consider 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 based mostly on their Capacity 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 progress, 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 Net Companies (AWS) is a Chief on this Magic Quadrant. Its product, Amazon Q Developer (previously CodeWhisperer), is concentrated on helping and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code ideas 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 immediately 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 possibility to speak with our clients to ask why they select Amazon Q Developer. They mentioned it’s out there to speed up and full duties throughout the SDLC rather more than basic 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:
Accessible in all places you want it – You should utilize 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 may as well use Amazon Q Developer within the AWS Administration Console, AWS Command Line Interface (AWS CLI), AWS documentation, AWS Assist, AWS Console Cellular Utility, Amazon CodeCatalyst, or by means of Slack and Microsoft Groups with AWS Chatbot. In accordance with Protected Software program, “Amazon Q is aware of all of the methods to utilize the numerous instruments that AWS gives. As a result of we are actually capable of accomplish extra, we will 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 based mostly 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, greatest 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 accordance with Nationwide Australia Financial institution (NAB), NAB has now added particular ideas utilizing the Amazon Q customization functionality which might be tailor-made to the NAB coding requirements. They’re seeing elevated acceptance charges of 60 p.c with customization. To be taught extra, go to Customizing ideas within the AWS documentation.
Upgrading your Java functions – Amazon Q Developer Agent for code transformation automates the method of upgrading and remodeling your legacy Java functions. In accordance with an inside Amazon research, Amazon has migrated tens of hundreds of manufacturing functions 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 handbook 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 whole 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.
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