AI Code Review for Developers | Trag
Trag is an AI-powered code review tool designed to help developers write cleaner, more efficient code. It provides automated code reviews, catches bugs, and offers contextual feedback, all while supporting multiple programming languages. This allows engineering teams to move faster with greater confidence in their code.
Key Features
- Automated Code Review: Trag automatically scans pull requests, identifying potential issues and suggesting fixes.
- AI Pull Request Review: The AI analyzes pull requests, flags problems, and provides detailed comments for improved code quality.
- Code Checker: Trag checks code across various languages, helping developers catch and fix bugs more quickly.
- Customizable Rule-Based Reviews: Instead of relying on pre-set rules, Trag allows users to define custom rules in plain language, tailoring the review process to their specific needs.
- Team Collaboration: Teams can collaborate on code reviews and the creation of custom rules within the same repository.
- Language-Agnostic Support: Trag supports all major programming languages, eliminating the need to switch tools.
- PR Integration: Integrates seamlessly with popular platforms like GitHub and GitLab.
- Real-Time Feedback via CLI: Provides real-time feedback directly in the command line interface.
- Context-Aware Analysis: Trag understands the context of the code, providing relevant and helpful suggestions.
How Trag Works
- Connect Your Repository: Link Trag to your code repository to grant access for code analysis.
- Define Custom Patterns: Create custom rules or use pre-built templates to define your code review criteria.
- Open a Pull Request: Submit a pull request, and Trag will automatically review the code, flag errors, and suggest fixes.
Pattern Examples
Trag allows you to define patterns in plain English. For example:
- High-Level Patterns: "Ensure we are not logging sensitive data." "Follow DRY principles."
- Context-Aware Patterns: "Make sure to wrap any API calls with module X to handle errors with Y error handling." "While working with A, make sure to do B and C."
Pricing
Trag offers a tiered pricing structure:
- Hobby: Free plan for individuals and small projects.
- Team: $300/month per repository, ideal for teams focusing on code review processes and standards. Includes a 14-day free trial.
- Enterprise: Custom pricing for larger teams with specific integration needs.
Open Source
Trag is free for open-source projects. Contact the team to set up access.
Conclusion
Trag streamlines the code review process, improving code quality and accelerating development cycles. Its AI-powered capabilities and flexibility make it a valuable tool for developers of all skill levels and across various project sizes.