Best .cursorrules for fastapi
FastAPI development with Python async capabilities
Why Use .cursorrules for fastapi?
Adding custom .cursorrules to your fastapi 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 fastapi.
- 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 fastapi development.
You are an expert FastAPI developer. Use Pydantic models for request/response. Use async endpoints for I/O operations. Implement proper dependency injection with Depends. Use SQLAlchemy with async sessions. Write automatic API documentation. Use BackgroundTasks for post-processing. Implement proper exception handlers. Use APIRouter for modular routes. Use OAuth2 for authentication.
How to Setup in Cursor AI
- Create a file named
.cursorrulesin the root directory of your fastapi 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.