At AWS re:Invent immediately, Amazon introduced updates to its generative AI assistant for software program builders, Amazon Q Developer.
There are three new brokers that automate unit testing, documentation, and code evaluations. Builders could make it generate a check by typing “/check” within the chat window or highlighting a selected block of code to check. It makes use of its general data of the undertaking to generate the required exams for the code.
Equally, builders can now kind “/doc” within the chat window to get the assistant to mechanically generate documentation and replace README recordsdata. Builders may also ask questions on how their code works or ask it to enhance present documentation.
And eventually, typing “/evaluation” will make Amazon Q flag suspicious code patterns, determine open supply bundle dangers, and assess the influence of adjustments. They’ll additionally use “/q evaluation” in GitLab Duo to have Amazon Q evaluation their merge requests.
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Past these three new brokers, Amazon additionally introduced that the instrument can now make ideas about operational points in a buyer’s AWS surroundings, primarily based on its understanding of the relationships between AWS sources, reminiscent of these in Amazon CloudWatch, AWS CloudTrail, AWS Well being, and AWS X-Ray.
“It might shortly sift by way of lots of of hundreds of knowledge factors to find relationships between companies and develop an understanding of how they work collectively to determine anomalies throughout associated alerts. After analyzing its findings, Amazon Q presents customers with potential hypotheses for the basis explanation for the problem and guides customers by way of repair it—a mixture of capabilities that no different main cloud supplier affords,” Amazon wrote in an announcement.
The corporate additionally made normal enhancements to Amazon Q Developer’s potential to modernize legacy workloads, reminiscent of enhancing the velocity of .NET modernization, remodeling VMware workloads, and accelerating mainframe modernization.
“We’re combining Amazon Q Developer with our practically 20 years of expertise serving to organizations migrate and modernize their legacy workloads on AWS to speed up and simplify large-scale transformations,” mentioned Mai-Lan Tomsen Bukovec, vp of know-how at AWS. “It is a game-changer for patrons and companions seeking to transfer off of Home windows .NET, VMware, and mainframes. Now, Amazon Q considerably accelerates utility transformation initiatives with brokers that may autonomously full among the most labor-intensive duties, reminiscent of analyzing, planning, code technology, and testing, saving prospects money and time, and serving to them notice the total worth of the cloud.”