Trag

Trag is an intelligent, AI-driven code review platform built by engineers, for engineers, to enhance development speed without compromising code quality. It automates the tedious parts of code review, allowing developers to focus on building impactful software. By integrating directly into existing workflows, Trag provides real-time, contextual feedback that aligns with specific project needs and coding standards. Recently, Trag has joined Aikido Security, combining its powerful code quality capabilities with Aikido's security platform to create an even more robust solution for modern engineering teams.

How to use Trag

Getting started with Trag is a straightforward, three-step process designed for maximum efficiency:

1. Connect Your Code Repository: Simply link Trag to your GitHub or GitLab repository. Once connected, the AI begins tracking and analyzing your codebase, preparing for automated reviews.
2. Define Custom Patterns: This is where Trag's power shines. You can create custom review rules using plain English. These rules can be high-level (e.g., "Ensure we are not logging sensitive data") or highly specific and context-aware (e.g., "Make sure to wrap any API calls with module X to handle errors with Y error handling"). You can also choose from pre-built templates.
3. Open a Pull Request: Once you submit a pull request, Trag's AI automatically runs its checks based on your defined rules. It reviews the code, flags potential errors, inconsistencies, or vulnerabilities, and leaves clear, actionable comments directly in the pull request.

Core Features of Trag

• AI Pull Request Review: Automatically scans pull requests, identifies problems, and provides intelligent suggestions and comments, saving significant manual review time.
• Customizable Rule Engine: Define code patterns and standards in natural language. The AI interprets these rules and applies them across all your projects, ensuring consistency and adherence to team-specific guidelines.
• Language-Agnostic Support: Trag works with any programming language, eliminating the need to switch between different tools or configurations for polyglot projects.
• Seamless Git Integration: Natively integrates with popular platforms like GitHub, GitLab, and Bitbucket (with Azure DevOps coming soon), fitting directly into your existing CI/CD pipeline.
• Real-time Feedback via CLI: Developers can run code analysis directly from their terminal, receiving instant feedback to catch and fix issues on the spot before they are even committed.
• Context-Aware Analysis: Unlike traditional linters, Trag understands the context of your code. Its suggestions are relevant and practical, whether you're using custom rules or working with a complex, established codebase.
• Security Vulnerability Scanning: The code checker identifies common security flaws like SQL injection and XSS, and can be configured with custom security guidelines to protect your application.
• Team Collaboration: Invite team members to collaborate on repositories and co-create custom rules, fostering a shared standard of code quality.

Use Cases for Trag

Trag is versatile and valuable for various development scenarios:

• Maintaining Code Quality: Automatically detect bugs, redundancies, and logical errors early in the development cycle, ensuring a clean, reliable, and scalable codebase.
• Enforcing Team Standards: Ensure every contribution, whether from a senior developer or a new hire, adheres to the team's established coding standards and best practices.
• Speeding Up Code Reviews: Drastically reduce the time spent on manual code reviews by automating the detection of common issues. This allows senior engineers to focus on architectural and high-level logic, accelerating the merge and deployment process.
• Monitoring Code Health Over Time: Utilize analytics and reporting to track code quality metrics, identify recurring issues, and pinpoint areas for improvement, maintaining long-term codebase health.

Advantages of Trag

Trag offers a distinct advantage for modern development teams:

• Increased Engineering Velocity: By automating reviews, Trag frees up developer time, allowing teams to ship features faster without sacrificing confidence in their code.
• Improved Accuracy and Consistency: AI-powered analysis catches subtle bugs and inconsistencies that human reviewers might miss, ensuring a higher standard of quality across the board.
• Developer-Friendly Workflow: With its natural language rules, CLI feedback, and seamless PR integration, Trag is designed to be an unobtrusive and helpful part of the developer's daily routine.
• Scalable and Flexible: From individual developers and open-source projects to large enterprise teams, Trag's flexible plans and customizable engine can adapt to any project's needs.

Pricing and Plans

Trag offers a flexible pricing structure to suit different team sizes and needs, with a 14-day free trial on all plans (no credit card required).

• Free Plan: Ideal for individuals and teams getting started. Includes Pull Request summaries, unlimited repositories, and unlimited engineers. It also comes with a 14-day free trial of the Team plan.
• Team Plan: Priced at $20 per engineer per month. Best for teams with multiple repositories. Includes unlimited code reviews, unlimited repositories, unlimited custom rules, and analytics.
• Enterprise Plan: Custom pricing for larger organizations. Includes all features of the Team plan, plus options for self-hosting, SSO login, using your own LLM, and a dedicated Customer Success Manager.
• Open Source Plan: Free forever for open-source projects, providing full functionality to support the community.