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On August nineteenth, 2024, Gartner revealed its first Magic Quadrant for AI Code Assistants, which incorporates Amazon Net 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 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 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 concentrated on helping and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code solutions and transformation, testing and safety, in addition to characteristic 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 complicated duties, optimizing efficiency, guaranteeing safety, and driving innovation.
My workforce 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 Neighborhood.aws.
I’ve had the prospect to speak with our prospects to ask why they select Amazon Q Developer. They mentioned it’s obtainable to speed up and full duties throughout the SDLC far more than common AI code assistants—from coding, testing, and upgrading, to troubleshooting, performing safety scanning and fixes, optimizing AWS assets, and creating information engineering pipelines.
Listed below are the highlights that prospects talked about extra typically:
Out there in every single place you want it – You should use Amazon Q Developer in any of the next built-in improvement 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. It’s also possible to use Amazon Q Developer within the AWS Administration Console, AWS Command Line Interface (AWS CLI), AWS documentation, AWS Help, AWS Console Cellular Utility, Amazon CodeCatalyst, or via Slack and Microsoft Groups with AWS Chatbot. In line with Protected Software program, “Amazon Q is aware of all of the methods to utilize the numerous instruments that AWS supplies. As a result of we at the moment are 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 study extra, go to Amazon Q Developer options and Amazon Q Developer prospects.
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, 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 line with Nationwide Australia Financial institution (NAB), NAB has now added particular solutions utilizing the Amazon Q customization functionality which can be tailor-made to the NAB coding requirements. They’re seeing elevated acceptance charges of 60 p.c with customization. To study extra, go to Customizing solutions 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 line 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 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 study 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 study extra.
— Channy
Gartner Magic Quadrant for AI Code Assistants, Arun Batchu, Philip Walsh, Matt Brasier, Haritha Khandabattu, 19 August, 2024.
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