Trag simplifies code reviews with AI-driven, contextual feedback tailored to your code. Automatically scan pull requests, catch issues, and fix bugs for all programming languages.
Trag simplifies code reviews with AI-driven, contextual feedback tailored to your code. Automatically scan pull requests, catch issues, and fix bugs for all programming languages.
Trag provides a powerful AI-driven code review tool designed to improve the efficiency and accuracy of code review processes. It offers contextual feedback that adapts to your specific codebase, catching errors and bugs while supporting multiple programming languages. By integrating directly with popular platforms like GitHub and GitLab, it automates the review process and provides real-time analysis to maintain high code quality and faster review cycles.
Who will use Trag?
Developers
Software Engineers
DevOps Teams
Tech Leads
How to use the Trag?
Step 1: Connect your code repository
Step 2: Define custom patterns
Step 3: Open a pull request
Step 4: Review feedback and resolve issues
Platform
web
Trag's Core Features & Benefits
The Core Features of Trag
AI-driven code review
Real-time feedback
Language-agnostic support
Seamless PR integration
Team collaboration
Context-aware analysis
The Benefits of Trag
Improved code quality
Faster review cycles
Reduced development time
Enhanced team collaboration
Customizable review rules
Trag's Main Use Cases & Applications
Automated Code Review
AI Pull Request Review
Code Quality Maintenance
Team Collaboration Enhancement
FAQs of Trag
What is Trag?
Trag is an AI-driven code review tool that offers contextual feedback for improving code quality across multiple programming languages.
How do I integrate Trag with my repository?
You can integrate Trag by connecting it to your code repository on platforms like GitHub, GitLab, or Bitbucket.
Does Trag support all programming languages?
Yes, Trag is language-agnostic and supports all programming languages.
Can I customize the review rules in Trag?
Yes, you can define custom patterns and rules for code review in Trag.
How does Trag provide feedback?
Trag provides real-time feedback directly in the CLI and within your pull requests on integrated platforms.
Is Trag suitable for team collaboration?
Yes, Trag enhances team collaboration by providing shared input and enforcing consistent coding standards.
What kind of issues can Trag detect?
Trag detects logic errors, syntax issues, coding standard violations, potential bugs, and more.
Is there a free trial available?
Yes, Trag offers a free trial for users to explore its features.
Can Trag handle large-scale projects?
Yes, Trag is designed to manage complex and large-scale projects efficiently.
How can I get started with Trag?
You can sign up on the Trag website, connect your repo, define custom patterns and start reviewing your pull requests.