AWS DevOps & Developer Productivity Blog
Category: Artificial Intelligence
Improving customer experience and reducing cost with CodeGuru Profiler
Amazon CodeGuru is a set of developer tools powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Amazon CodeGuru Profiler allows you to profile your applications in a low impact, always on manner. It helps you improve your application’s performance, reduce cost and […]
Detecting concurrency bugs with Amazon CodeGuru
This post discusses the types of concurrency bugs Amazon CodeGuru detects and how developers can fix them. CodeGuru automatically analyzes pull requests (created in supported repositories like CodeCommit, GitHub, GitHub Enterprise, and Bitbucket) and generates recommendations about how to improve your code quality. Why use a tool to automatically detect concurrency bugs? Concurrency bugs are […]
Automated code reviews on Bitbucket repositories and other enhancements in Amazon CodeGuru
This post covers the support for the Atlassian Bitbucket Cloud source repository for Amazon CodeGuru Reviewer, which was recently announced. It also delves into new functionalities introduced to enhance the developer experience in CodeGuru Reviewer. CodeGuru Reviewer is a machine learning-based service that scans your pull requests and gives you recommendations against your source code […]