fastapi-patterns
Master building production FastAPI applications through dependency injection, custom middleware, and async patterns. This skill covers project structure, Pydantic validation, router organization, background task handling, and testing strategies for robust APIs.
fastapi-patterns teaches production-ready FastAPI development with dependency injection, middleware, and async best practices.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-22
fastapi-patterns teaches production-ready FastAPI development with dependency injection, middleware, and async best practices. Master building production FastAPI applications through dependency injection, custom middleware, and async patterns. This skill covers project structure, Pydantic validation, router organization, background task handling, and testing strategies for robust APIs.
Use it when
- fastapi-patterns covers dependency injection as a core production pattern, showing how to structure DI for scalability and maintainability.
- fastapi-patterns emphasizes project organization through router setup, modular architecture, and separation of concerns.
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organvm/a-i--skills/fastapi-patterns · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do you build production FastAPI apps with best practices?
fastapi-patterns teaches production-ready FastAPI development through dependency injection, custom middleware, and async patterns. The skill covers structuring scalable projects, organizing routers, implementing Pydantic validation for type-safe responses, managing database sessions, handling errors gracefully, and testing with pytest and asyncio fixtures. You'll learn the app factory pattern, lifespan management for startup/shutdown, background task handling, and how to avoid common anti-patterns that compromise reliability.
What fastapi dependency injection tutorial does this skill provide?
fastapi-patterns covers dependency injection as a core production pattern, showing how to structure DI for scalability and maintainability. The skill demonstrates using FastAPI's Depends() for injecting services, managing database sessions, handling authentication context, and composing dependencies hierarchically. You'll learn type-safe injection with Annotated dependencies, testing strategies with mock fixtures, and patterns that keep your codebase clean and testable as your API grows.
How should you structure a FastAPI project for scalability?
fastapi-patterns emphasizes project organization through router setup, modular architecture, and separation of concerns. The skill teaches structuring applications with dedicated modules for routes, models, services, and dependencies. You'll learn how to organize routers by domain, manage configuration across environments, implement proper error handling and exception strategies, customize OpenAPI documentation, and design for testability. This structure supports teams and large codebases without becoming unwieldy.
What async patterns and best practices does fastapi-patterns cover?
fastapi-patterns explores async patterns essential for production APIs, including async route handlers, background task management, and proper middleware design. The skill covers async fixture setup for testing, managing concurrent requests efficiently, lifespan event handling for resource initialization, and avoiding blocking operations. You'll learn how to leverage FastAPI's async capabilities while maintaining code clarity and avoiding gotchas that lead to performance issues or race conditions.
How do you implement Pydantic validation in FastAPI applications?
fastapi-patterns teaches Pydantic model validation for type-safe, robust API responses. The skill covers defining request/response models with field validation, custom validators, nested models, and error serialization. You'll learn how Pydantic integrates with FastAPI's automatic documentation, validates query parameters and path variables, handles optional fields and defaults, and ensures data consistency across your API. Proper validation catches bugs early and improves API reliability.
How do you test FastAPI applications with pytest and asyncio?
fastapi-patterns covers testing strategies for async FastAPI applications using pytest with asyncio fixtures. The skill teaches setting up test clients, mocking dependencies, testing async route handlers, managing database state in tests, and validating error responses. You'll learn patterns for isolating components, testing middleware behavior, and ensuring your async code works correctly under various conditions. Comprehensive testing catches regressions and gives confidence when refactoring production code.
SKILL.md
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FastAPI Patterns
Build production-ready async APIs with FastAPI's dependency injection and type system.
Project Layout
``` src/ ├── app/ │ ├── init.py │ ├── main.py # FastAPI app factory │ ├── config.py # Pydantic Settings │ ├── dependencies.py # Shared DI providers │ ├── middleware.py # Custom middleware │ ├── routers/ │ │ ├── init.py │ │ ├── skills.py │ │ └── registry.py │ ├── models/ │ │
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skills/development/fastapi-patterns/SKILL.md
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