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What is CodeAnt AI?

Effectively summarize the alterations in pull requests to help the team quickly understand their importance. Automatically identify and address code quality issues and anti-patterns across over 30 different programming languages. Review each code change for vulnerabilities recognized by OWASP, CWE, SANS, and NIST, and implement necessary corrections. Evaluate every pull request against a thorough set of more than 10,000 policies to identify infrastructure as code issues and assess their impact. Protect sensitive data within your codebase, such as API keys, tokens, and other private information. Bring attention to potential problems in code logic and data structures, while offering insights into their consequences. Utilize a Code Health Dashboard that provides instant visibility into the overall status of your code and infrastructure, allowing for quick identification of critical issues. Understand their implications and address them promptly. Take advantage of weekly executive reports that outline new issues identified, resolved challenges, and those still outstanding. Acting as your coding assistant, this tool helps detect and automatically fix over 5,000 code quality and security vulnerabilities, seamlessly integrating within your development environment. This integration not only boosts developer productivity but also ensures enhanced code safety and quality, ultimately leading to a more robust software development process.

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
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
GitLab
Java
Python
Visual Studio Code

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per 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

CodeAnt AI

Date Founded

2023

Company Location

United States

Company Website

www.codeant.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Static Application Security Testing (SAST)

Application Security
Dashboard
Debugging
Deployment Management
IDE
Multi-Language Scanning
Real-Time Analytics
Source Code Scanning
Vulnerability Scanning

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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