Tag: Amazon CodeGuru

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 […]

“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 […]

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 […]

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 […]

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 […]

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 […]