CodeGuru uses its knowledge of reviews from Amazon and about 10,000 open-source projects to find issues, then comments on the pull request as needed.

To use CodeGuru, developers continue to commit their code to their repository of choice, no matter whether that’s GitHub, Bitbucket Cloud, AWS’s own CodeCommit or another service.

Recently, AWS announced the general availability of Amazon CodeGuru, a developer tool powered by machine learning. It provides intelligent recommendations for improving code quality and identifying an ...

The CodeGuru tools were just presented to the public, but AWS has been using them internally for years, Jassy said. "We have 80,000 applications internally that are using the profiler part of CodeGuru ...

CodeGuru’s new functionality is available at no additional cost and supports multiple integrations ,including AWS, Atlassian, Datadog, Databricks, GitHub, Hubspot, Mailchimp, Salesforce ...

Amazon Web Services Inc. said today its new Amazon CodeGuru service, which relies on machine learning to automatically check code for bugs and suggest fixes, is now generally available.

CodeGuru's web development team combines technical expertise with creative design, producing responsive, search-optimized websites that engage users on any device. From e-commerce platforms to ...

Amazon says that CodeGuru — which encodes AWS’ best practices — has been used internally to optimize 80,000 applications, and that it’s led to tens of millions of dollars in savings.

CodeGuru Profiler pricing is based on the total number of sampling hours, charged at $0.005 per hour. The tools could be useful for developers who run applications from AWS compute instances and ...

Amazon CodeGuru can be enabled with a few clicks in the AWS console, customers only pay for their actual use of Amazon CodeGuru, and it’s easy and affordable enough to run on every code review ...