Safurai
About Safurai
Safurai is an innovative AI Code Assistant built for developers, designed to enhance productivity and efficiency. By integrating with Visual Studio Code, it allows users to optimize, search, and modify code with generated suggestions, making coding faster and easier for everyone.
Safurai offers a completely free plan for individual developers using Visual Studio Code. Future paid plans will provide tailored solutions for enterprises, ensuring businesses get the optimal value and enhanced features they need to improve team productivity and code quality.
Safurai features a user-friendly interface that simplifies navigation with intuitive layouts and concise information display. Its design prioritizes ease of use, enabling users to quickly access features like code optimization and search tools, enhancing their coding efficiency seamlessly.
How Safurai works
Users start by onboarding Safurai within Visual Studio Code, a straightforward process that requires minimal setup. Once integrated, users interact with the AI Assistant by highlighting code and accessing shortcuts for various tasks, including explanations and tests, streamlining their coding workflow.
Key Features for Safurai
Super Search
Super Search is a unique feature of Safurai that allows developers to find code using natural language queries. This innovative capability enhances the coding experience by providing quick, accurate results, facilitating easier navigation and efficient project management within the development environment.
Shortcuts
Safurai's Shortcuts feature enables developers to effortlessly request explanations, optimize code, or generate unit tests. This functionality enhances user experience by streamlining interactions, ensuring that help is always just a highlight away, making coding tasks more manageable and efficient.
Train Your Assistant
Train Your Assistant allows users to customize Safurai's responses based on specific projects. This feature empowers developers by ensuring that the AI Assistant provides accurate, project-relevant suggestions, enhancing the coding process and making it more tailored to individual needs.
