building-python-backend

Scaffold FastAPI backends with layered architecture and SQLAlchemy models.

1|1|Updated Feb 21, 2026

Search Tags:#architecture #fastapi #python #backend #ddd #asyncio #sqlalchemy

Ready to run

npx skills add https://github.com/ChidiRnweke/chisel --skill building-python-backend

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: building-python-backend
Source: https://github.com/ChidiRnweke/chisel/tree/main/building-python-backend
Command: npx skills add https://github.com/ChidiRnweke/chisel --skill building-python-backend

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust, opinionated architecture for building production-ready asynchronous Python backends using FastAPI, ensuring strict layer separation and domain-driven design principles.

Core Features & Use Cases

Layered Architecture: Enforces clear separation between HTTP, Domain, and Data layers.
FastAPI Integration: Patterns for routes, dependencies, and error handling.
SQLAlchemy ORM: Guidelines for asynchronous database interactions.
Domain-Driven Design: Promotes maintainable and scalable code.
Use Case: Scaffold a new FastAPI service, implement a new API endpoint with proper validation and error handling, or refactor an existing backend to adhere to strict architectural patterns.

Quick Start

Use the building-python-backend skill to scaffold a new FastAPI project structure.

Frequently Asked Questions about building-python-backend

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

FAQPage Schema

How do I structure a FastAPI backend with SQLAlchemy for production?▼

Structure a FastAPI backend by enforcing strict layer separation between HTTP, Domain, and Data layers. This approach uses domain-driven design principles and asynchronous SQLAlchemy patterns to ensure your production backend remains maintainable and scalable.

What is domain-driven design in Python asynchronous backends?▼

Domain-driven design in Python asynchronous backends separates business logic from infrastructure concerns. It enforces strict boundaries between HTTP routes, domain models, and data access layers using FastAPI and asyncio to promote maintainable code.

Can I use asyncio with SQLAlchemy and FastAPI for database operations?▼

Yes, you can use asyncio with SQLAlchemy and FastAPI for database operations. The architecture provides specific guidelines for asynchronous database interactions, ensuring non-blocking data access within your domain-driven design layers.

What's the best way to scaffold a new FastAPI service?▼

The best way to scaffold a new FastAPI service is using an opinionated architecture that enforces strict layer separation. This provides ready-to-use patterns for routes, dependencies, error handling, and asynchronous SQLAlchemy models.

How do I refactor an existing Python backend to use strict architectural patterns?▼

Refactor an existing Python backend by reviewing current features against domain-driven design principles and strict layer separation. Restructure HTTP, Domain, and Data layers to align with asynchronous FastAPI and SQLAlchemy patterns.

When do I need strict layer separation in a Python backend?▼

You need strict layer separation in a Python backend when building production-ready asynchronous services. Separating HTTP, Domain, and Data layers prevents code coupling and ensures scalable, maintainable FastAPI applications.