Trag

AI-powered code review tool that automates code assessments using straightforward English rules for faster, consistent quality checks.

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AI Code Review AI Code Assistant AI Checker Large Language Models (LLMs)

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

Software developersCode reviewersDevelopment teamsQuality assurance engineersDevOps professionals

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

Frequently Asked Questions

Find answers to common questions about Trag

What is a pattern in Trag?

A pattern in Trag specifies a rule for code structure or behavior, described in plain English to guide automated reviews.

Which version control systems does Trag support?

Trag integrates with GitHub, GitLab, Bitbucket, and Azure DevOps, with more options coming soon.

Is Trag compatible with all programming languages?

Yes, Trag supports analysis across all major programming languages.

How does Trag deliver real-time feedback?

Trag provides immediate analysis results via CLI, enabling developers to review issues directly from the terminal.

Can I customize code review rules in Trag?

Yes, you can create and modify rules using plain English to tailor the review process to your project's needs.