#code quality

This open-source tool uses advanced LLM technology to improve code quality by applying high-level best practices beyond traditional static analysis such as ESLint. It includes features like customizable rules and project-specific guidelines, and supports integration with major LLM providers. Designed to enhance rather than replace existing tools, it is currently focused on JS/TS and provides a seamless transition for developers. Detailed documentation is available for maximizing use and integration.

PHP Insights provides a terminal-based solution to improve PHP code quality. This open-source tool offers detailed analysis of code quality, coding style, and architectural complexity, with predefined checks ensuring code simplicity and reliability. With seamless integration into frameworks like Laravel and Symfony, PHP Insights is easy to set up for any PHP project. Explore phpinsights.com for comprehensive documentation and features designed for developers seeking efficient and clean code.

AI Code Reviewer uses GPT-4 to automate GitHub pull request reviews, delivering precise feedback. It optimizes the review process, enhances code quality, and reduces developer workload. Easily integrates into GitHub workflows, filtering out specified files and offering smart suggestions. Users can adjust settings by excluding specific file patterns. Proper configuration of the OpenAI API key and repository setup is necessary. Contributions are welcome to further refine this MIT Licensed tool.