What is Trag and how does it work?

Trag is an AI-powered code review tool that enforces coding standards using natural language, scanning pull requests and suggesting fixes.

What are the key benefits of using Trag?

Trag accelerates code reviews, improves code quality, reduces errors, and centralizes coding standards to ease onboarding.

What programming languages and frameworks does Trag support?

Trag supports any programming language or framework, including Angular, React, and Vue.js.

How much does Trag cost?

Trag offers a freemium pricing model, with a free 'Hobby' plan and paid 'Team' and 'Enterprise' plans, starting at $300 per repository per month.

How easy is Trag to set up and use?

Trag setup involves simple GitHub application integration and rule definition in plain English, requiring minimal technical skills.

What kind of support does Trag offer?

Trag provides 24/7 email and chat support, alongside documentation and training, depending on the chosen pricing plan.

What integrations does Trag have?

Trag integrates primarily with GitHub, with potential for more integrations.

Can Trag automatically fix bugs?

Trag suggests AI-driven auto-fixes in pull requests, allowing developers to review and accept changes.

What if Trag misses a bug or suggests an incorrect fix?

Trag's accuracy depends on user-defined rules; regular updates and refinements are essential.

Is Trag suitable for open-source projects?

Yes, Trag offers a free plan for open-source projects, providing robust code review capabilities at no cost.

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Trag

Name: Trag
Brand: Trag
Availability: InStock
Rating: 5 (1 reviews)
Author: Trag

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Last updated: November 27, 2024

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What is Trag?

Trag is a comprehensive AI-powered code review tool designed to automate pre-reviews, detect potential issues, and propose fixes, thereby optimizing the software development process. Nicknamed as a 'superlinter,' Trag stands out for its compatibility with any programming language or framework. Key functionalities include creation of coding standards using natural language, AI-driven auto-fixes as pull requests, repository-specific rules, and semantic code analysis that captures code intent beyond syntax. Its analytics dashboard also gives insights into review performance, making Trag an effective solution for enterprises, open-source projects, and security compliance.

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