Trag

Trag is an AI-driven tool that makes code reviews faster, easier, and more effective for engineering teams.

Trag is all about enhancing the code review process by using artificial intelligence. It steps in to scan your code before it reaches a senior engineer, helping to pinpoint any issues early on. This means your team can save valuable time and keep things moving smoothly.

What sets Trag apart from your typical linting tools is its advanced features. It not only understands code at a deep level but also performs semantic analysis to find bugs before they become a problem. Plus, it provides useful suggestions for refactoring, making sure that the code quality remains high while boosting efficiency.

Another great thing about Trag is its flexibility. You can easily create and apply your own rules using natural language. This makes it straightforward to match your custom rules with pull request changes and even fix issues automatically. It’s designed to fit your team’s unique workflow seamlessly.

When it comes to understanding how your pull requests are doing, Trag has got you covered with an analytics feature. This lets teams keep tabs on pull request metrics, aiding in smarter decision-making and improving the overall process.

Trag also offers the convenience of connecting multiple repositories, allowing you to set different rules for each one. This high level of customization means that you can adapt Trag to meet the specific needs of various projects. You can think of Trag as a superlinter that enforces your rules across any programming language or framework.

If you’d like to explore some predefined rules created by our team, you can find them here: Trag Rules. We would love for you to give it a try, and we really value your feedback!