At AWS re:Invent in the present day, 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 critiques. Builders could make it generate a check by typing “/check” within the chat window or highlighting a particular block of code to check. It makes use of its general information of the undertaking to generate the mandatory assessments for the code.
Equally, builders can now sort “/doc” within the chat window to get the assistant to mechanically generate documentation and replace README recordsdata. Builders may ask questions on how their code works or ask it to enhance current documentation.
And at last, typing “/evaluation” will make Amazon Q flag suspicious code patterns, determine open supply bundle dangers, and assess the affect of modifications. They will 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 solutions about operational points in a buyer’s AWS setting, based mostly on its understanding of the relationships between AWS sources, resembling these in Amazon CloudWatch, AWS CloudTrail, AWS Well being, and AWS X-Ray.
“It could actually shortly sift via tons 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 indicators. After analyzing its findings, Amazon Q presents customers with potential hypotheses for the foundation reason for the problem and guides customers via easy methods to repair it—a mixture of capabilities that no different main cloud supplier provides,” Amazon wrote in an announcement.
The corporate additionally made normal enhancements to Amazon Q Developer’s means to modernize legacy workloads, resembling bettering the pace of .NET modernization, reworking VMware workloads, and accelerating mainframe modernization.
“We’re combining Amazon Q Developer with our almost twenty 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 expertise at AWS. “It is a game-changer for patrons and companions trying to transfer off of Home windows .NET, VMware, and mainframes. Now, Amazon Q considerably quickens software transformation initiatives with brokers that may autonomously full among the most labor-intensive duties, resembling analyzing, planning, code technology, and testing, saving clients money and time, and serving to them notice the complete worth of the cloud.”