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Trag is a business tool designed to streamline the code review process for engineering teams, allowing them to detect bugs and ensure code quality before the code review stage. By creating custom patterns and rules, teams can define what they are looking for during the review process, such as ensuring every ‘malloc’ has a corresponding ‘free’ in all execution paths or following the DRY principle.
One of the key features of Trag is its ability to automatically fix issues identified during the review process using AI technology. This can help teams save time and focus on building products rather than spending days reviewing code manually. Additionally, Trag allows teams to connect multiple repositories, making it easy to manage code across different projects.
With Trag, teams can monitor pull request analytics, collaborate with teammates in team workspaces, and create their own rules to match their specific use cases. Unlike traditional linters, Trag offers complex code understanding, semantic code analysis, predictive bug detection, and refactoring suggestions, providing a more comprehensive approach to code review.
Setting up Trag is simple, requiring users to connect their GitHub account, write their own patterns using natural language, and open pull requests for review. By automating the code review process and providing insights into code quality, Trag can help businesses improve efficiency, reduce errors, and make better decisions when it comes to managing code repositories.
Trag – Features
Review pull requests in minutes
Create custom patterns for code review
Autofix with AI
Connect multiple repositories
Pull request review with written patterns
Analytics for monitoring
Team workspaces for collaboration
Easy setup: connect repository, write rules, open pull request
Trag – Pricing
Available upon request, free demo and trial.
Visit usetrag.com for more.
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