fastapi-backend-architecture

Standardize FastAPI backend architecture with modular routes, models, and DI.

Updated Aug 5, 2025
One-click install
npx skills add https://github.com/Parth5409/IntervYouAI --skill fastapi-backend-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-backend-architecture
Source: https://github.com/Parth5409/IntervYouAI/tree/main/.gemini/skills/fastapi-backend-architecture
Command: npx skills add https://github.com/Parth5409/IntervYouAI --skill fastapi-backend-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standardizes backend architecture for FastAPI projects focused on interview platforms.

Core Features & Use Cases

  • Modular structure separating routes, models, utilities, and orchestration logic.
  • Dependency Injection pattern using SQLAlchemy AsyncSession with a get_db helper.
  • Clear guidance for creating endpoints, database interactions, and error handling.

Quick Start

Spin up the FastAPI app with uvicorn and verify modular wiring of routes, models, and DI setup.

Frequently Asked Questions about fastapi-backend-architecture

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

FAQPage Schema
How do I structure a FastAPI backend with SQLAlchemy and dependency injection?

A FastAPI backend with SQLAlchemy and dependency injection separates routes, models, utilities, and orchestrator components, using a get_db helper to inject AsyncSession for modular, testable database interactions.

What's the best way to organize FastAPI routes for JWT authentication and socketio integration?

Organizing FastAPI routes for JWT authentication and socketio integration requires separating orchestration logic from endpoints, isolating session management and route coordination to ensure scalable, maintainable backend architecture.

How does dependency injection work with SQLAlchemy 2.0 async sessions in FastAPI?

Dependency injection with SQLAlchemy 2.0 async sessions in FastAPI uses a get_db helper to yield AsyncSession, allowing endpoints to execute asynchronous database queries with proper transaction handling and testability.

Can I use FastAPI modular design for an interview platform backend?

FastAPI modular design fits interview platform backends by standardizing orchestration logic across authentication, sessions, and data models, separating routes, models, and utilities for scalable and testable project architecture.

Does FastAPI backend architecture support SQLAlchemy 2.0 style queries?

FastAPI backend architecture supports SQLAlchemy 2.0 style queries by integrating async database sessions within dependency injection patterns, enabling modern, non-blocking data model interactions across utility and orchestrator components.

Why separate orchestration logic from routes in FastAPI applications?

Separating orchestration logic from routes in FastAPI applications keeps endpoint definitions lightweight and focused on request handling, while complex business workflows move to dedicated orchestrator components for better modularity.