AI Code Review | Trag

Trag

2.5 | 468 | 0
Type:
Website
Last Updated:
2025/08/17
Description:
Enhance coding with Trag's AI code review. Simplifies development, ensuring quick and accurate online code reviews.
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AI code review
code analysis
code quality
automated review

Overview of Trag

Trag: AI-Powered Code Review for Effortless Development

What is Trag? Trag is an AI-driven code review tool that helps developers write cleaner code faster. It automates the code review process, providing instant feedback and suggestions to improve code quality. It supports all languages, integrates with popular platforms like GitHub and GitLab, and allows for customized rule-based reviews.

Key Features:

  • Automated Code Review: Automatically runs checks to keep code clean.
  • AI Pull Request Review: Scans pull requests, flags problems, and leaves comments.
  • Code Checker: Checks code across multiple languages to catch & fix bugs faster.
  • Customized Rule-Based Reviews: Build custom criteria in plain language, and Trag's AI applies them across your projects.
  • Team Collaboration: Invite team members and collaborate on creating custom rules.
  • Language-Agnostic Support: Works with any programming language.
  • PR Integration: Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps.
  • Real-Time Feedback via CLI: Address issues on the spot by running code analysis directly from the terminal.
  • Context-Aware Analysis: Understands the context behind your code and gives relevant suggestions.

How to Use Trag:

  1. Connect Your Code Repository: Link Trag to your repository.
  2. Define Custom Patterns: Create custom rules or pick from templates.
  3. Open a Pull Request: Submit your pull request, and Trag will review your code, flag errors, and recommend fixes.

Why is Trag Important? Trag helps developers increase their engineering speed while maintaining a high level of confidence in their code. By automating code review, Trag saves developers time and effort, allowing them to focus on writing high-quality code.

Integrations:

  • Github
  • GitLab
  • Bitbucket
  • Azure devops

Best way to use Trag

The best way to use Trag is to integrate it into your existing development workflow. Connect your repository, define custom rules, and let Trag automate the code review process.

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