Using ML to automate code reviews
ConnectCareHero's digital platform provides access to live and culturally relevant activity programming to assist senior living organizations in tackling social isolation and loneliness at scale. Using Amazon CodeGuru has allowed ConnectCareHero to accelerate code reviews for thousands of lines of code, fix security vulnerabilities, and meet coding best practices.
Use ML to improve code quality and application performance
Wheel Pros is an aftermarket wheel manufacturer and distributor with a network of more than 25,000 dealers in over 30 countries around the world. AWS Partner Presidio, helped Wheel Pros create an ML-powered solution with Amazon CodeGuru, to manage 300+ microservices and improve their code quality and application performance.
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Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era.
“Amazon CodeGuru helps Cognizant development teams deliver mission critical software for our customer's digital transformation programs. Incorporating CodeGuru in our development workflows improves and automates code reviews, helps our DevOps teams proactively identify and fix functional and non-functional issues and ensures that the deployments exceeds the performance, security and compliance requirements of our customers across industries and regions.”
Todd Carey, Global Head, Cognizant AWS Business Group
For over 20 years, DigitalFusion has been the premiere professional digital photographic services company specializing in state-of-the-art studio and location digital capture, equipment rental, retouching, CGI, printing, scanning, fine art and archival digital capture, digital processing, online editing (DF Studio), digital archiving and graphic design services.
“Amazon CodeGuru Reviewer has helped us create a feedback loop for our developers and improved the overall quality of our code. The new pricing model makes it much easier for us to budget and operationalize adding it to our software development processes. We can now scale our code reviews based on our project size and deployment schedules.”
Michael Rush, Software Development Manager at Digital Fusion
IT Consortium is one of Africa’s leading financial services technology solutions provider.
“With CodeGuru, we have built automated code reviews directly into our pipelines, which means my team can deploy code faster and with more confidence. We use CodeGuru Reviewer’s recommendations based on ML and automated reasoning, to focus on fixing and improving the code, instead of manually finding flaws. The addition of Python has made CodeGuru even more accessible for us."
Edwn Nikoi, Technical Manager, IT Consortium
RENGA, Inc. is a company that operates one of Japan's largest condominium reviews and evaluation sites used by more than 1 million people every month.
“Poor quality code adds complexity to the system and can become technical debt at some point. On the other hand, as long as consistent code quality is maintained, scaling the system won’t prevent developers from extending features as the code itself is simple. At RENGA, the code review process is important, however, it should not increase workload for reviewers or become a bottleneck in development. Powered by machine learning, Amazon CodeGuru Reviewer helped us automate code reviews and reduced the workload required on reviewers. We could seamlessly integrate Amazon CodeGuru Reviewer into our existing development pipeline. Furthermore, learning the best practices of coding – which we were not aware of – has helped us develop with more confidence.”
Kazuma Ohara, CTO at RENGA
Get started building with Amazon CodeGuru Reviewer in the AWS Management Console.