Trag

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Trag is an AI-powered code review tool that automates pre-reviews and identifies potential issues. It enhances code quality by suggesting fixes and supports various programming languages.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is Trag?

Trag is an AI-powered code review tool designed to streamline the pre-review process for developers. It automatically identifies potential issues within codebases and provides suggestions for fixes, ultimately enhancing overall code quality. The tool boasts compatibility with any programming language or framework, offering broad applicability. Users can also create custom review rules using natural language, adding flexibility to the review process. Furthermore, Trag supports multi-repository environments and includes an analytics dashboard for tracking code quality metrics.

Best used for

Automating code pre-reviews and improving code quality across various programming languages and frameworks.

Common actions

Automate code review

Improve code quality

Identify code issues

Streamline development workflow

Monitor code health

EnterpriseAI-drivenopen-sourceissue detectionrepository rulescode reviewsemantic analysisauto-fixpre-reviewssecurity compliance

Capabilities

Key features

AI-powered code review
Suggests fixes
Any language/framework
Natural language rules
Analytics dashboard

Target Audience

DevelopersSoftware EngineersDevelopment TeamsEngineering Managers

Integrations

Not yet documented

Pricing & Plans

unknown

Hobby Plan

FAQs

Does Trag integrate with popular CI/CD pipelines or version control systems like GitHub/GitLab?

While the description doesn't explicitly state integrations, an AI-powered code review tool like Trag would typically integrate with VCS (e.g., GitHub, GitLab, Bitbucket) and CI/CD pipelines to automate reviews as part of the development workflow. Users should inquire about specific integration capabilities.

Can Trag be customized to enforce specific coding standards or best practices unique to my team?

Yes, Trag allows users to create custom review rules using natural language. This feature enables teams to tailor the AI's review process to enforce their specific coding standards, architectural patterns, or best practices across any programming language or framework.

What kind of analytics does the dashboard provide, and can it track improvements over time?

Trag's analytics dashboard is designed for tracking code quality metrics. It likely provides insights into common issues, code complexity, review efficiency, and potentially trends in code quality improvement or degradation over time across multiple repositories.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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