Trag

Trag Product AI Code Reviewer is an AI-driven, context-aware linter and code review assistant designed to speed up engineering workflows. It automatically scans pull requests, flags issues, leaves comments, and provides fixes across all programming languages. With deep integrations and customizable rules, Trag helps teams maintain code quality at scale while keeping development momentum.

---

How Trag Works

1. Connect your repository. Install the GitHub, GitLab, or other supported integration and link Trag to your codebase. AI begins tracking and analyzing the project.
2. Define custom patterns. Create rules in plain language or choose from templates. Trag applies these checks automatically during reviews.
3. Open a pull request. Trag reviews the code, flags issues, and recommends fixes in the PR comments.

---

Core Features

• Automated code review: runs checks to keep your code clean.
• AI pull request review: scans PRs, flags problems, and leaves comments.
• Code checker: analyzes code across multiple languages to catch and fix issues faster.
• Language-agnostic support: works with any programming language.
• PR integration: seamless integration with GitHub, GitLab, and other PR systems.
• Real-time CLI feedback: analyze code directly in the terminal for on-the-spot fixes.
• Context-aware analysis: understands project context to provide relevant suggestions.
• Customizable rule-based reviews: define plain-language rules; AI applies them across projects.
• Team collaboration: invite teammates and collaborate on custom rules within the same repo.
• Pattern-based linting: create and reuse reusable patterns to enforce coding standards.
• Pattern examples and templates: access a library of patterns for common scenarios.

Why Trag

• High-speed engineering with confidence: fast, reliable reviews that respect your coding standards.
• Helps catch unwanted prompts or logic errors early, saving time and effort.
• Real-time, context-aware feedback helps maintain code quality without slowing down development.

How Our AI Code Reviewer Works (Step-by-Step)

• Step 1: Install and connect your code repository (GitHub, GitLab, etc.). AI begins tracking and analyzing.
• Step 2: Define custom patterns or use templates. The reviewer runs checks automatically.
• Step 3: Open a pull request. The tool reviews the code, flags issues, and recommends fixes.

Try Trag

• Get clean code reviews, fast. Don’t compromise accuracy—Trag handles the review so you can focus on coding.
• Start a free trial with no card required. Explore real-time feedback, pattern customization, and collaborative rule-building.

Safety and Best Practices

• Use Trag to augment human review, not replace it. Verify AI-suggested fixes and ensure compliance with project standards.

Related Links

• Product overview, pricing, documentation, resources, and privacy terms are available as part of Trag’s ecosystem.

Additional Notes

• Integrations: GitHub, GitLab, Bitbucket, Azure DevOps (coming soon). Real-time CLI, contextual guidance, and cross-language support ensure broad applicability across teams.