Trag
AI-powered code review tool that automates code assessments using straightforward English rules for faster, consistent quality checks.
About Trag
Trag is an AI-driven code review assistant that functions like a smart linter capable of detecting complex patterns. By accepting plain English rules, it reviews code on every pull request within seconds, streamlining the review process. Compatible with all programming languages, Trag seamlessly integrates with platforms like GitHub, GitLab, Bitbucket, and Azure DevOps to promote faster, more accurate code assessments and improved development workflows.
How to Use
Connect your repository to Trag, define custom or select preset rules, then create a pull request. Trag automatically reviews your code, identifies issues, and suggests fixes in real-time.
Features
- Automated, rule-based code reviews
- Context-aware analysis for precise feedback
- Customizable review rules in plain English
- Real-time pull request analysis
- Supports multiple programming languages
- Seamless integration with GitHub, GitLab, Bitbucket, Azure DevOps
- Collaborative review environment
- Instant feedback through CLI
Use Cases
- Validating complex form logic with NgRx only when data changes
- Automating detection of sensitive data logging
- Wrapping API calls with error handling modules
- Enforcing DRY (Don't Repeat Yourself) coding principles
Best For
Pros
- Create customizable, plain-language rules for code review
- Receive instant feedback through command-line interface
- Boost development speed with consistent quality checks
- Enhance team collaboration on code quality
- Automate routine checks to maintain clean code standards
- Quickly identify issues to save time and effort
- Supports multiple programming languages and version control platforms
Cons
- Effectiveness relies on well-defined review patterns
- Initial setup and rule creation require effort
- Upcoming integrations may not be available immediately