fastapi-developer

Build FastAPI backends with async endpoints, Pydantic v2 models, and SQLAlchemy async ORM.

13|6|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/olehsvyrydov/AI-development-team --skill fastapi-developer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-developer
Source: https://github.com/olehsvyrydov/AI-development-team/tree/main/claude/skills/development/backend/python/fastapi-developer
Command: npx skills add https://github.com/olehsvyrydov/AI-development-team --skill fastapi-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a specialized FastAPI development blueprint that extends backend-developer for Python API projects, enabling robust, scalable backend APIs with modern tooling.

Core Features & Use Cases

  • Async endpoints: Build and manage asynchronous routes with FastAPI.
  • Data modeling: Utilize Pydantic v2 for robust validation and docs.
  • ORM & DI: Leverage SQLAlchemy async and dependency injection for clean architecture.
  • Auth & testing: Integrates authentication patterns and testing strategies; supports deployment with ASGI servers.
  • Use Case: When building a new FastAPI project, use this skill alongside backend-developer to implement routes, schemas, and services with clean separation.

Quick Start

Use this skill alongside backend-developer when starting a new FastAPI project. Initialize with virtual environment, install FastAPI, pydantic, SQLAlchemy, and dependencies, then implement router, models, and DI per the examples.

Frequently Asked Questions about fastapi-developer

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

FAQPage Schema
How do I build async endpoints in FastAPI with SQLAlchemy?

Build async endpoints in FastAPI by using SQLAlchemy's async ORM alongside dependency injection. This approach ensures non-blocking database operations and clean architecture separation for scalable Python APIs.

What is the best way to validate data models in FastAPI using Pydantic v2?

Validate data models in FastAPI using Pydantic v2 schemas to enforce robust type checking and automatic OpenAPI documentation. This guarantees strict data validation before processing requests in your async routes.

Does this FastAPI development blueprint support authentication and testing?

This FastAPI blueprint supports authentication patterns and testing strategies. It integrates secure authentication mechanisms and provides testing frameworks to ensure robust API endpoint reliability before deployment.

Can I use dependency injection and async patterns together in FastAPI?

You can use dependency injection and async patterns together in FastAPI. This combination allows clean architecture separation while maintaining non-blocking I/O operations across your API endpoints and services.

What Python and library versions are required for modern FastAPI backend development?

Modern FastAPI backend development requires Python 3.12+, FastAPI, Pydantic 2.x, and SQLAlchemy 2.x. These versions ensure compatibility with async patterns, dependency injection, and secure best practices.

How do I deploy FastAPI applications with Uvicorn or Gunicorn?

Deploy FastAPI applications using ASGI servers like Uvicorn or Gunicorn. This deployment strategy supports async endpoints and ensures scalable production environments for your Python API projects.