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What is Codacy?

Codacy is a unified platform that brings together code quality, application security, and AI risk protection to support modern, fast-paced development environments. It provides continuous analysis across the entire software development lifecycle, from local development in IDEs to production environments. The platform performs static application security testing (SAST), dynamic testing (DAST), dependency scanning, and infrastructure-as-code analysis to detect vulnerabilities and misconfigurations early. Codacy’s AI Guardrails enhance this process by identifying and fixing issues in AI-generated code, ensuring compliance with organizational standards. Developers receive real-time feedback, automated pull request checks, and detailed insights into code complexity, duplication, and test coverage. Centralized rule management enables organizations to enforce consistent coding and security standards across all teams and repositories. The platform integrates with popular tools like GitHub, GitLab, and CI/CD pipelines, making adoption seamless. Codacy also supports automated unit test generation and advanced reporting through its MCP-powered interactions. By reducing manual effort and improving visibility, it allows developers to focus on building high-quality software. The result is faster delivery cycles, stronger security posture, and more maintainable codebases. Codacy is trusted by thousands of organizations worldwide to streamline development while minimizing risk.

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
AWS App Mesh
AWS Fargate
Amazon Elastic Container Service (Amazon ECS)
Apache Velocity
C#
C++
CoffeeScript
Elixir
Git
JSON
Kubernetes
Markdown
PHP
Quickwork
Slack
XML

Integrations Supported

Bitbucket
GitHub
Java
Python
AWS App Mesh
AWS Fargate
Amazon Elastic Container Service (Amazon ECS)
Apache Velocity
C#
C++
CoffeeScript
Elixir
Git
JSON
Kubernetes
Markdown
PHP
Quickwork
Slack
XML

API Availability

Has API

API Availability

Has API

Pricing Information

$21/user/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Codacy

Date Founded

2012

Company Location

Portugal

Company Website

www.codacy.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

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