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What is Trag?

Empower engineering teams to make the most of their time by focusing on their primary strength: developing products. Set up tailored guidelines and clearly define your expectations for the review procedure, as Trag will manage this step before you step in. Develop specific regulations that cater to your team's unique needs, allowing for flexibility in quantity and detail as required. Monitor the advancement of tasks, with the reassurance that our AI can restore any rules that may not perform as intended. Direct commits are prohibited; you will instead receive pull requests that include all necessary adjustments. Effortlessly manage numerous repositories, all accessible at your convenience. Encourage your teammates to join in on the collaborative efforts. Trag will perform automatic evaluations of pull requests guided by the predefined frameworks. Assess pull request data to enable faster and better-informed decisions. Craft your own frameworks using simple language, while Trag ensures rules are adapted according to changes in pull requests and applies automatic corrections. All information is encrypted and safeguarded; we strictly avoid direct commits, operating solely through pull requests, and your code remains untouched for any development processes. Furthermore, the system promotes ongoing enhancement through frequent feedback loops, guaranteeing that your engineering methods grow in tandem with your team's evolving requirements. This commitment to continuous improvement fosters a culture of learning and adaptability within the engineering team.

What is Cantina Code?

Cantina Code serves as a dedicated platform designed for code reviews, with a primary emphasis on improving security evaluations, enabling both clients and researchers to perform thorough assessments, communicate seamlessly, and manage their submissions all in one place. Its interactive, real-time dashboard allows clients to observe vulnerabilities and feedback as they occur, with capabilities to sift through data based on severity, author, or particular tags. Researchers enjoy a structured submission process featuring integrated labels for severity and status, as well as direct commenting tools that promote teamwork and reduce disruptions. Furthermore, reputation scores are essential for prioritizing tasks by recognizing dependable researchers and filtering out lower-quality submissions, while an AI assistant aids in the triage process by identifying and eliminating duplicate, low-value entries. The platform's flexibility caters to a range of engagement strategies, including public competitions, private assessments, bug bounty initiatives, or collaborative reviews, with the dashboard adaptable to the specific type of review being undertaken. This all-encompassing methodology guarantees that both clients and researchers can operate effectively and efficiently in their pursuit of thorough security assessments. Ultimately, Cantina Code stands out as a vital tool for enhancing the quality and reliability of security evaluations in today's complex digital landscape.

Media

Media

Integrations Supported

GitHub

Integrations Supported

GitHub

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Trag

Company Website

usetrag.com

Company Facts

Organization Name

Cantina

Date Founded

2023

Company Location

United States

Company Website

cantina.xyz/cantina-code

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