Code reviews 2024-06-13
Review your pull request in minutes, not days
Generated by ChatGPT
Trag is an AI-powered code review tool designed to optimize the code review process. Trag works by pre-reviewing the code and identifying issues before they are reviewed by a senior engineer, thus speeding up the review process and saving engineering time. Furthermore, unlike standard linting tools, Trag offers several notable features including in-depth code understanding, semantic code analysis, proactive bug detection, and refactoring suggestions, ensuring the quality and efficiency of the code. Trag also offers flexibility by allowing users to create and implement their own rules using natural language, matching these rules with pull request changes and auto-fixing those issues. Teams can utilize its analytics feature to monitor pull request analytics for better decision-making.

You can connect multiple repositories and have different rules tracking them, this is made to offer high level of customization from repository to repository.

One other way of thinking about Trag is as if it's a superlinter. The rules that you write can be enforced on any language any framework. Here a small set of already defined rules by our team:

Please try it out, we appreciate your feedback!

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Trag was manually vetted by our editorial team and was first featured on June 7th 2024.

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Pros and Cons


Optimizes code review process
Pre-reviews code for issues
In-depth code understanding
Semantic code analysis
Proactive bug detection
Offers refactoring suggestions
Custom rules creation
Natural language rule creation
Automated issue fixing
Pull request analytics
Team collaboration support
Source control integration
Multiple repositories support
Provides automated issue fixes
Suggests fixes via pull requests
Human control over changes
Auto-reviews pull requests
Supports creation of patterns
User-based rules implementation


No direct commit capability
Requires natural language input
Autofixing can be inaccurate
Dependent on user-defined rules
No supported programming languages mentioned
No clear troubleshooting options
Requires multiple repositories connection
Not distinguishing between semantic errors
Requires team collaboration setup
Repetitive rule creation process


What is the core function of Trag?
How does Trag pre-review code?
What issues can Trag identify in the code review process?
What is unique about Trag's semantic code analysis feature?
How does Trag assist in proactive bug detection?
Can Trag make refactoring suggestions? How does this work?
How does Trag allow users to implement their own rules?
Do custom rules created in Trag impact pull request changes?
What does Trag's auto-fix function do?
How does the analytics feature in Trag improve decision-making?
How does Trag's team collaboration feature work?
Can Trag connect with multiple repositories for source control integration?
Is Trag fully automated or do humans have final control over changes?
How does Trag ensure the quality and efficiency of the code?
Does Trag commit changes directly after detecting issues?
What languages or coding standards is Trag compatible with?
Can Trag suggest changes in pull requests or does it only identify issues?
How can teams monitor their pull request analytics with Trag?
How does Trag's 'set up' process work?
What makes Trag different from other linting tools?

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