Tag: Amazon CodeGuru

Your DevOps and Developer Productivity guide to re:Invent 2023 ICYMI – AWS re:Invent is less than a week away! We can’t wait to join thousands of builders in person and virtually for another exciting event. Still need to save your spot? You can register here. With so much planned for the DevOps and Developer Productivity […]

Automated code analysis plays a key role in improving code quality and compliance. Amazon CodeGuru Reviewer provides automated recommendations that can assist developers in identifying defects and deviation from coding best practices. For instance, CodeGuru Security automatically flags potential security vulnerabilities such as SQL injection, hardcoded AWS credentials and cross-site request forgery, to name a […]

Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]

with Aaron Friedman (Principal PM-T for xGuru services) Amazon CodeGuru is a developer tool that uses machine learning and automated reasoning to catch hard to find defects and security vulnerabilities in application code. The purpose of this blog is to show how new CodeGuru Reviewer features help improve the security posture of your Python applications […]

Gridium creates software that lets people run commercial buildings at a lower cost and with less energy. Currently, half of the world lives in cities. Soon, nearly 70% will, while buildings utilize 40% of the world’s electricity. In the U.S. alone, commercial real estate value tops one trillion dollars. Furthermore, much of this asset class […]

Here we are introducing the inconsistency detector for Java in Amazon CodeGuru Reviewer. CodeGuru Reviewer automatically analyzes pull requests (created in supported repositories such as AWS CodeCommit, GitHub, GitHub Enterprise, and Bitbucket) and generates recommendations for improving code quality. The Inconsistency Principle Software is repetitive, so it’s possible to mine usage specifications from the mining […]

Amazon CodeGuru Profiler recently began providing recommendations for applications written in Python. Additionally, the new automated onboarding process for Lambda functions makes it even easier to use CodeGuru Profiler with serverless applications built on Lambda. This post highlights these new features by explaining how to set up and utilize Codeguru Profiler on an AWS Lambda function written in Python.

This post announces the availability of new self-paced where you learn how to use CodeGuru Reviewer to automatically scan your code base, identify hard-to-find bugs and vulnerabilities, and get recommendations for fixing the bugs and security issues.

This guest post was authored by Rana Ahsan and Chris Liu, Software Engineers at Coursera, and edited by Dave Sanderson and Adnan Bilwani, at AWS. Coursera was launched in 2012 by two Stanford Computer Science professors, Daphne Koller and Andrew Ng, with a vision of providing universal access to world-class learning. It’s now one of […]

We are pleased to announce the GA launch of Python support in Amazon CodeGuru Reviewer, a service that helps you improve source code quality by automatically detecting hard-to-find defects. CodeGuru Reviewer is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions of code reviews on open-source projects […]