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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 common availability on April 30, 2024. AWS was ranked as a Chief for its capacity to execute and completeness of imaginative and prescient.
We consider this Chief placement displays our fast 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 primarily based 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 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 helping and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code ideas and transformation, testing and safety, in addition to characteristic growth. Its operations are geographically numerous, and its shoppers are of all sizes. AWS is concentrated 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 workforce 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 Middle and Neighborhood.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 way more than common AI code assistants—from coding, testing, and upgrading, to troubleshooting, performing safety scanning and fixes, optimizing AWS sources, and creating knowledge engineering pipelines.
Listed here are the highlights that clients talked about extra typically:
Accessible all over the place you want it – You need to use Amazon Q Developer in any of the next built-in growth setting (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 too can 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 via Slack and Microsoft Groups with AWS Chatbot. In line with Secure Software program, “Amazon Q is aware of all of the methods to utilize the numerous instruments that AWS supplies. 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 primarily based in your inner 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 inner libraries, APIs, finest practices, and architectural patterns. Your group’s directors can securely join Amazon Q Developer to your inner code bases to create a number of customizations. In line 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 purposes – Amazon Q Developer Agent for code transformation automates the method of upgrading and reworking your legacy Java purposes. In line with an inner Amazon examine, 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 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.
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