---
title: "IDE Rule: Python 312 Fastapi Best Practicesprom"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/spec-ide-rule-python-312-fastapi-best-practicesprom"
modality: "IDE_RULE"
category: "Framework IDE Rules"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# IDE Rule: Python 312 Fastapi Best Practicesprom

**Summary:** IDE Rule: Python 312 Fastapi Best Practicesprom is a verified IDE RULE blueprint on Promptally in Framework IDE Rules optimized for leading AI models. Cursorrules Mdc specification for IDE Rule: Python 312 Fastapi Best Practicesprom. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | IDE_RULE |
| Category | Framework IDE Rules |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 395 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```mdc
---
description: "Cursor rules for Python FastAPI development with best practices."
globs: **/*
alwaysApply: false
---
Here are some best practices and rules you must follow:

- You use Python 3.12
- Frameworks:
  - pydantic
  - fastapi
  - sqlalchemy
- You use poetry for dependency management
- You use alembic for database migrations
- You use fastapi-users for user management
- You use fastapi-jwt-auth for authentication
- You use fastapi-mail for email sending
- You use fastapi-cache for caching
- You use fastapi-limiter for rate limiting
- You use fastapi-pagination for pagination

1. **Use Meaningful Names**: Choose descriptive variable, function, and class names.
2. **Follow PEP 8**: Adhere to the Python Enhancement Proposal 8 style guide for formatting.
3. **Use Docstrings**: Document functions and classes with docstrings to explain their purpose.
4. **Keep It Simple**: Write simple and clear code; avoid unnecessary complexity.
5. **Use List Comprehensions**: Prefer list comprehensions for creating lists over traditional loops when appropriate.
6. **Handle Exceptions**: Use try-except blocks to handle exceptions gracefully.
7. **Use Virtual Environments**: Isolate project dependencies using virtual environments (e.g., `venv`).
8. **Write Tests**: Implement unit tests to ensure code reliability.
9. **Use Type Hints**: Utilize type hints for better code clarity and type checking.
10. **Avoid Global Variables**: Limit the use of global variables to reduce side effects.

These rules will help you write clean, efficient, and maintainable Python code.

```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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