Start a new project in Cursor and immediately get AI suggestions that match your framework and coding conventions without manual correction.
Find and copy a .cursorrules file for your tech stack (React, Django, Rails, etc.) to guide the AI on project-specific patterns and imports.
Browse community-contributed rules to discover best practices and configuration examples for your chosen technology.
Customize an existing rule file to add your team's specific coding standards and project context.
Awesome Cursor Rules is a curated collection of configuration files for the Cursor AI code editor. Cursor is an AI-powered code editor built on VS Code that can generate, refactor, and explain code using large language models. A ".cursorrules" file is a plain-text configuration file you place at the root of your project that gives the AI specific instructions about how to behave when working in that codebase, things like which coding patterns to prefer, which libraries to use, what style conventions to follow, and any project-specific context the AI needs to give accurate suggestions. The repository works as an organized library of ready-made .cursorrules files contributed by the community, organized by technology. You can browse categories like frontend frameworks (React, Next.js, Angular, Vue, Astro), backend frameworks (Django, FastAPI, Rails, Go), mobile development, CSS libraries, testing tools, database integrations, and language-specific setups. Each entry links directly to a .cursorrules file you can copy into your own project. Many files include things like instructions on preferred import styles, how to handle TypeScript types, which state management approach to use, or how the project's folder structure is organized. You would use this repository when starting a project with Cursor and wanting AI suggestions that fit your stack from the very first prompt, rather than spending time correcting the AI toward your conventions. Instead of writing a .cursorrules file from scratch, you find the one matching your stack, copy it in, and start writing code. The repository itself is a documentation and configuration archive. It is primarily written in MDX, which is Markdown with support for embedded components used by many documentation sites. There is no executable code, the value is entirely in the collection of text configuration files and the organization that makes them discoverable.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.