AWS DevOps & Developer Productivity Blog

Category: Amazon CodeGuru

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Improving your Java applications using Amazon CodeGuru Profiler

Debugging performance issues is always a challenge, especially in production. In the normal software development workflow, as we start writing and reviewing our code, we may introduce bugs or inefficiencies that lead to decreased overall performance of our application after deployment. So, we created Amazon CodeGuru, a developer tool powered by machine learning (ML) that […]

Improving AWS Java applications with Amazon CodeGuru Reviewer

Amazon CodeGuru Reviewer is a machine learning (ML)-based AWS service for providing automated code reviews comments on your Java and Python applications. Powered by program analysis and ML, CodeGuru Reviewer detects hard-to-find bugs and inefficiencies in your code and leverages best practices learned from across millions of lines of open-source and Amazon code. You can […]

Amazon CodeGuru Profiler Heap Summary view

Understanding memory usage in your Java application with Amazon CodeGuru Profiler

“Where has all that free memory gone?” This is the question we ask ourselves every time our application emits that dreaded OutOfMemoryError just before it crashes. Amazon CodeGuru Profiler can help you find the answer. Thanks to its brand-new memory profiling capabilities, troubleshooting and resolving memory issues in Java applications (or almost anything that runs […]

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Resource leak detection in Amazon CodeGuru Reviewer

The resource leak detector in CodeGuru Reviewer combines static code analysis algorithms with machine learning to surface only the high confidence leaks. It has a high developer acceptance rate and has alerted developers within Amazon to thousands of leaks before those leaks hit production.

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Raising code quality for Python applications using Amazon CodeGuru

We are pleased to announce the launch of Python support for Amazon CodeGuru, a service for automated code reviews and application performance recommendations. CodeGuru is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions of code reviews and thousands of applications profiled on open-source projects and internally […]

Tightening application security with Amazon CodeGuru

Amazon CodeGuru is a developer tool that provides intelligent recommendations for improving code quality and identifies an application’s most expensive lines of code. To help you find and remediate potential security issues in your code, Amazon CodeGuru Reviewer now includes an expanded set of security detectors.  In this post, we discuss the new types of […]

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 […]

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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 […]