Best .cursorrules for python
Python development with modern tooling and best practices
Why Use .cursorrules for python?
Adding custom .cursorrules to your python project dramatically improves Cursor AI code completions, inline generation, and refactoring accuracy. Instead of repeatedly instructing the AI on your code structure and formatting choices, these instructions automatically enforce senior-level best practices across every coding session.
- Enforces consistent file structure and component architecture for python.
- Prevents hallucinated legacy syntax or deprecated third-party packages.
- Optimizes token usage by giving Cursor targeted, modular guidelines.
.cursorrules File Content
Copy this into your project's .cursorrules file to optimize Cursor AI for python development.
You are an expert Python developer. Write type-annotated code (Python 3.12+). Follow PEP 8 style guide. Use virtual environments. Write docstrings for public APIs. Use src/ layout for packages. Separate concerns: models, services, routes. Use pytest for testing. Implement proper error handling. Use async/await for I/O operations. Leverage caching with functools.lru_cache. Use generators for large datasets.
How to Setup in Cursor AI
- Create a file named
.cursorrulesin the root directory of your python repository. - Paste the contents above into the
.cursorrulesfile. - Save the file. Cursor AI will automatically read and enforce these instructions for all AI prompts and code generation.