FAQ
FAQ
FAQ
What is Trag?
Trag is a rule-based AI code review tool built to help developers maintain consistent and effective code reviews, tailored to their own rules and guidelines. With GitHub/Gitlab integration, Trag automatically analyzes your code whenever a new pull request is opened, making sure it meets quality standards and aligns with best practices.
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.
What is Trag?
Trag is a rule-based AI code review tool built to help developers maintain consistent and effective code reviews, tailored to their own rules and guidelines. With GitHub/Gitlab integration, Trag automatically analyzes your code whenever a new pull request is opened, making sure it meets quality standards and aligns with best practices.
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.