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Description
Cantina Code is a specialized platform for code reviews that focuses on enhancing security assessments, allowing both clients and researchers to conduct comprehensive evaluations, communicate effectively, and manage their submissions within a singular platform. It boasts a dynamic, real-time dashboard that enables clients to monitor vulnerabilities and feedback as they arise, with options to filter information based on severity, author, or specific labels. Researchers benefit from organized submission forms that include built-in labels for severity and status, along with direct commenting features that facilitate collaboration among teams and minimize unnecessary interruptions. Additionally, reputation scores play a crucial role in prioritizing tasks by identifying reliable researchers and filtering out low-quality submissions, while an AI assistant contributes to the triage process by identifying and removing duplicate low-value entries. The platform is versatile, accommodating various engagement methods such as public competitions, private assessments, bug bounty programs, or collaborative reviews, with the dashboard customizable according to the type of review being conducted. This comprehensive approach ensures that both clients and researchers can work efficiently and effectively in their security assessment efforts.
Description
Codeball is an AI designed for code reviews, providing a scoring system for pull requests that ranges from 0 (indicating a need for thorough examination) to 1. By leveraging Codeball, you can apply labels to prioritize your focus, automate approvals for straightforward PRs, and enhance your review process. Its user-friendly action comes with sensible defaults while offering extensive customization options to fit your specific workflow requirements. You'll be able to label pull requests that require careful scrutiny, ensuring that you remain vigilant and prevent bugs from sneaking through unnoticed. Codeball efficiently identifies, approves, or labels PRs deemed safe, allowing you to save valuable time by expediting the review of simpler contributions. Built to be fully customizable and programmable through GitHub Actions, Codeball Actions consist of various modular components that can be tailored to meet your needs. Utilizing a deep learning model, Codeball analyzes over one million pull requests, taking into account numerous factors for each submission. Its optimization for precision ensures that it only approves those contributions that it has a high level of confidence in, making it a trustworthy assistant in your development workflow. With Codeball in your toolkit, you can streamline your code review process while maintaining high standards of quality in your projects.
API Access
Has API
API Access
Has API
Integrations
GitHub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cantina
Founded
2023
Country
United States
Website
cantina.xyz/cantina-code
Vendor Details
Company Name
Codeball AI
Country
United States
Website
github.com/sturdy-dev/codeball-action