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ease
features
design
support

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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

Enable engineering teams to optimize their time and concentrate on their core competency, which is product development. Establish personalized patterns and outline your expectations for the review process, as Trag will handle it prior to your involvement. Formulate rules specific to your team’s use cases, allowing for as many as needed and as detailed as desired. Keep track of progress, knowing that any rules that fail can be restored by our AI. Direct commits are not allowed; instead, you will receive pull requests with the necessary fixes. Manage multiple repositories effortlessly, all within your reach. Invite your colleagues to collaborate seamlessly. Trag will conduct automatic reviews of pull requests based on the established patterns. Analyze pull request metrics to facilitate quicker and more informed decisions. Create your own patterns using everyday language, while Trag aligns rules with the changes in pull requests and implements automatic corrections. All data is encrypted and secure; we never make direct commits, utilizing only pull requests, and your code is not repurposed for development activities. Additionally, the system encourages continuous improvement through regular feedback cycles, ensuring that your engineering practices evolve alongside your team's needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub

Integrations

GitHub

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Trag

Website

usetrag.com

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