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On August nineteenth, 2024, Gartner printed its first Magic Quadrant for AI Code Assistants, which incorporates Amazon Net Providers (AWS). Amazon Q Developer certified for inclusion, having launched in basic availability on April 30, 2024. AWS was ranked as a Chief for its capability 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 growth 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 Capability 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 Providers (AWS) is a Chief on this Magic Quadrant. Its product, Amazon Q Developer (previously CodeWhisperer), is targeted on aiding and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code options and transformation, testing and safety, in addition to characteristic growth. Its operations are geographically numerous, and its shoppers are of all sizes. AWS is targeted on delivering AI-driven options that improve the software program growth life cycle (SDLC), automating complicated duties, optimizing efficiency, guaranteeing safety, and driving innovation.
My staff 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 Middle and Neighborhood.aws.
I’ve had the prospect 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 way more than basic AI code assistants—from coding, testing, and upgrading, to troubleshooting, performing safety scanning and fixes, optimizing AWS sources, and creating knowledge engineering pipelines.
Listed below are the highlights that clients talked about extra typically:
Out there in every single place you want it – You need to use Amazon Q Developer in any of the next built-in growth surroundings (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 too 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 way of Slack and Microsoft Groups with AWS Chatbot. In keeping with Protected Software program, “Amazon Q is aware of all of the methods to utilize the numerous instruments that AWS offers. As a result of we at the moment are capable of accomplish extra, we will prolong our automations into different AWS companies 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 may 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 keeping with Nationwide Australia Financial institution (NAB), NAB has now added particular options utilizing the Amazon Q customization functionality which can 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 options within the AWS documentation.
Upgrading your Java purposes – Amazon Q Developer Agent for code transformation automates the method of upgrading and remodeling 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 growth work for over a thousand builders (when in comparison with handbook upgrades) and efficiency enhancements value $260 million {dollars} in annual price 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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