Trag
AI code review tool that automates code reviews using plain English rules.
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Overview
Trag is an AI code review companion that functions like a linter but can lint patterns. It takes plain English rules as input and reviews them on every pull request in seconds, automating code reviews. Trag enhances coding by simplifying development and ensuring quick and accurate online code reviews. It supports all languages and integrates with GitHub, GitLab, Bitbucket, and Azure DevOps.
Access & connections
Where you can use Trag, and what it plugs into.
Platforms
CLI
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- Automated code review
- AI pull request review
- Code checker across multiple languages
- Customized rule-based reviews
- Team collaboration
- Language-agnostic support
- PR integration
- Real-time feedback via CLI
Show 1 more
- Context-aware analysis
FAQ 6
What is Trag?
Trag is an AI code review companion that functions like a linter but can lint patterns. It takes plain English rules as input and reviews them on every pull request in seconds, automating code reviews. Trag enhances coding by simplifying development and ensuring quick and accurate online code reviews. It supports all languages and integrates with GitHub, GitLab, Bitbucket, and Azure DevOps.
How to use Trag?
Connect your code repository to Trag, define custom patterns or pick from templates, and then open a pull request. Trag will review the code, flag errors, and recommend fixes automatically.
What is a pattern in Trag?
A pattern in Trag defines a specific rule for code structure or behavior. It's a way to describe what the code should or shouldn't do in plain English.
Which pull request systems does Trag integrate with?
Trag integrates with GitHub, GitLab, Bitbucket, and Azure DevOps. More integrations are coming soon.
Can Trag work with any programming language?
Yes, Trag can work with any programming language.
How does Trag provide real-time feedback?
Trag provides real-time feedback via CLI, allowing you to run code analysis directly from the terminal and address issues on the spot.
Trag