Trag

Trag is an AI-driven tool for code review, streamlining the process. By pre-reviewing code and pinpointing issues before a senior engineer examines it, Trag accelerates reviews and saves engineering effort. Unlike typical linting tools, Trag provides features such as thorough code comprehension, semantic code assessment, early bug identification, and recommendations for code improvements, ensuring both code quality and efficiency. Users can also tailor Trag by creating custom rules using natural language. The tool applies these rules to pull request changes and automatically resolves any matching issues. Furthermore, teams can leverage the analytics feature to gain insights into pull request data, enhancing their decision-making.

Connect numerous repositories and apply unique rules to each for a high degree of customization.

Think of Trag as a superlinter. The rules you define can be applied to any language or framework. Here is a set of pre-defined rules: https://app.usetrag.com/rules

Please try it out and share your thoughts!