AI coding assistants like Cursor can be enhanced with Neon-specific context through a set of AI rules that guide them in generating more accurate code for Neon applications. These rules, contained in small .mdc files, help the AI understand how to handle specific contexts in a codebase by defining applicable file types and offering descriptions of their use. For Neon, these rules provide tailored guidance for best practices, particularly in areas like authentication, serverless connections, and integration with Drizzle ORM. For example, the neon-auth.mdc rule provides the correct patterns for setting up authentication in Neon, while the neon-serverless.mdc rule ensures proper handling of serverless connections to prevent common mistakes. Similarly, the neon-drizzle.mdc rule optimizes the setup of Drizzle ORM with Neon, ensuring efficient schema design and query optimization. These AI rules can be easily integrated into projects, allowing developers to leverage Neon’s features effectively for building scalable applications.