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Long-NguyenHai
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fastapi-patterns

Provide guidelines and best practices for FastAPI application development.

Updated Jul 4, 2026
Search Tags:#testing#best practices#authentication#Pydantic#FastAPI#dependency injection#asyncio
One-click install
npx skills add https://github.com/Long-NguyenHai/warehouse-ai --skill fastapi-patterns-long-nguyenhai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fastapi-patterns
Source: https://github.com/Long-NguyenHai/warehouse-ai/tree/main/.agents/skills/fastapi-patterns
Command: npx skills add https://github.com/Long-NguyenHai/warehouse-ai --skill fastapi-patterns-long-nguyenhai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, uvicorn, pydantic, sqlalchemy, pytest, httpx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides guidelines and best practices for developing modern, production-grade FastAPI applications.

Core Features & Use Cases

  • Project Structure: Defines an optimal project layout for FastAPI apps.
  • Pydantic Schemas: Covers using Pydantic v2 for data validation and serialization.
  • Dependency Injection: Explains the use of dependency injection for better testability and modularity.
  • Async Patterns: Shows how to write efficient and scalable asynchronous code in FastAPI.
  • Authentication & Authorization: Guides on implementing secure user authentication and authorization.
  • Testing: Provides tips on testing FastAPI applications with httpx and pytest.
  • Use Case: This Skill is beneficial for developers looking to establish a solid foundation for building FastAPI services.

Quick Start

Run the app using the command 'uvicorn app.main:app --reload' to start the FastAPI server in development mode.

Frequently Asked Questions about fastapi-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to structure a FastAPI application for production?▼

The best way to structure a FastAPI application is to follow an optimal project layout that separates Pydantic schemas, dependency injection, and transactional service layers for maintainability.

How do I implement authentication and authorization in FastAPI?▼

Implement FastAPI authentication and authorization by using dependency injection to manage secure user sessions and protect endpoints, following modern development best practices.

How do I test FastAPI applications with pytest and httpx?▼

Test FastAPI applications with pytest and httpx by leveraging dependency injection to mock database sessions, ensuring efficient and modular endpoint testing.

Can I use Pydantic v2 for data validation and serialization in FastAPI?▼

Yes, you can use Pydantic v2 in FastAPI to handle data validation and serialization, providing robust schema definitions for your application's request and response models.

What's the best way to write async database patterns in FastAPI with SQLAlchemy?▼

Write async database patterns in FastAPI with SQLAlchemy by utilizing asyncio to handle concurrent operations efficiently, ensuring scalable asynchronous code execution.

Do I need uvicorn to run a FastAPI application in development mode?▼

Yes, you need uvicorn to run a FastAPI application in development mode, specifically by executing the command 'uvicorn app.main:app --reload' to start the server.

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