Trag
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About
Trag is an AI-powered code review tool that helps developers maintain consistent and effective code reviews. It integrates with GitHub and GitLab, automatically analyzing code for quality and adherence to best practices. Trag uses a rule-based system, allowing users to define custom rules tailored to their specific needs. It supports all languages and provides real-time feedback via CLI. Pricing plans include a free Hobby plan, a Team plan at $300/repository/month, and a custom Enterprise plan. The tool is designed to save developers time and effort by catching issues early.
Platform
Task
Features
• github integration
• automated code review
• customizable rules
• gitlab integration
• semantic code review
• duplicate code finder
• code checker
• ai pull request review
FAQs
Is there a free version of Trag available?
Trag offers a free trial plan with essential features, and you can upgrade for access to advanced functionality and additional benefits. The free trial gives you 15 days of everything included in the Team package, so you can test out the entire functionality.
Is Trag suitable for team projects, or is it better for individual use?
Trag works great for both team projects and individual use. Users can invite members, collaborate in the same repo, and create custom rules together, making it perfect for team projects.
Which programming languages does Trag support?
Trag is language-agnostic; it works with any programming language and delivers the best results with the most popular ones. Whether you're working with Python, JavaScript, Java, or a lesser-known language, Trag adapts to your needs to provide high-quality analysis.
How accurate is the code analysis provided by Trag?
The accuracy of Trag's code analysis is close to 100%, but the results are highly dependent on the rules you've defined for your project. Trag offers tools to help you fine-tune and iterate on your rules, ensuring that they evolve with your project and maintain high accuracy. As you continue to refine and test your rules, Trag’s analysis will consistently improve, helping users get near-perfect results.
How secure is my code data when using Trag?
At Trag, security, privacy, and data confidentiality are our top priorities. Trag only requests read access to your code, processes it temporarily, and ensures there is no trace of code stored afterward. By default, all data remains private. The platform is deployed on Google Cloud's US datacenters, running in Docker containers and protected by Cloudflare, ensuring a secure environment for your code.
Are there any limits to the size of code files that Trag can review?
There are no limits on file size or count, but we suggest keeping pull requests small for a better review experience.
Pricing Plans
Hobby
Unknown Price• Pull Request summaries
• Unlimited repositories
• Unlimited engineers
• 14-day free trial
Team
$300.00 / Monthly• 14-day free trial
• Max 15 engineers
• Unlimited code reviews
• Unlimited repositories
• Unlimited custom rules
Enterprise
Unknown Price• Everything in Team plan
• Unlimited engineers
• Self-hosting option
• SSO login
• Your LLM
• Dedicated CSM
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