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What is CodeScene?

CodeScene offers advanced capabilities that extend well beyond conventional code analysis methods. It allows for the visualization and assessment of various elements that affect software delivery and quality, moving past a mere focus on the code itself. By leveraging CodeScene’s actionable insights and recommendations, users can make informed decisions driven by data. The platform empowers developers and technical leaders to: - Obtain a comprehensive view of their software system's evolution through a unified dashboard. - Recognize, prioritize, and address technical debt while considering the potential return on investment. - Foster a robust codebase utilizing robust CodeHealth™ Metrics, reducing rework and allocating more resources to innovation. - Easily integrate with Pull Requests and development environments to receive actionable code reviews and refactoring suggestions. - Establish improvement objectives and quality thresholds for teams, all while tracking their progress. - Enhance retrospectives by pinpointing areas that require development. - Evaluate performance against customized trends to ensure continuous improvement. - Grasp the social dynamics of the code by measuring socio-technical aspects such as key personnel dependencies, knowledge sharing, and collaboration between teams effectively. Overall, CodeScene not only improves code quality but also enhances team collaboration and project management.

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

Bitbucket
GitHub
Java
Python
Azure DevOps Server
C#
Elixir
Go
JavaScript
PHP
PowerShell
Rust
SonarQube Server
Swift
Terraform
Visual Basic

Integrations Supported

Bitbucket
GitHub
Java
Python
AWS App Mesh
AWS CodeCommit
Amazon EC2
Amazon EKS

API Availability

API Availability

Has API

Pricing Information

€18 per active author/month
Based on number of active developers you have
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

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
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

CodeScene

Date Founded

2015

Company Location

Sweden

Company Website

codescene.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

AI Code Review

Not specified

Application Development

Reporting/Analytics

Code Quality

Not specified

Code Review

Not specified

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations

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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