Amazon CodeGuru Reviews & Ratings

Amazon CodeGuru

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Rector?

Rector is an advanced PHP tool designed to facilitate immediate upgrades and automate refactoring for any PHP project, making the process of upgrading PHP versions, migrating in-house frameworks, and improving code quality much more efficient, which ultimately allows you to deliver features faster than your rivals. When leveraged by a skilled user, Rector can drastically reduce the time needed for various tasks; for example, a project upgrade from PHP 8.0 to 8.3, which may usually take three months, can be completed in just three days with Rector’s capabilities. To get started, you can either explore the extensive documentation available or speed up your learning curve by collaborating with our upgrade team, who have successfully supported over 50 companies in enhancing their PHP code quality while reducing technical debt. Rector takes your code quality to new heights, as its comprehensive knowledge is organized into easily executable rules and sets tailored to your code base. Once you progress past PHP 8.0 and implement a robust Rector CI setup, the time required to upgrade to the latest PHP version shrinks to just a few hours, allowing you to remain competitive in a rapidly changing technological environment. By adopting Rector, not only do you improve your codebase, but you also equip your team to adapt quickly to future innovations and challenges, ensuring sustained growth and efficiency. This adaptability ensures that your development processes are not just reactive but also proactive in anticipating the needs of upcoming projects.

What is Amazon CodeGuru?

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.

Media

Media

Integrations Supported

Laravel
PHP
Symfony

Integrations Supported

AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
GitHub
Java
Python

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Rector

Date Founded

2017

Company Location

Czech Republic

Company Website

getrector.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Code Quality

Not specified

Categories and Features

AI Code Review

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance

Code Quality

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization

Static Code Analysis

Not specified

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