django-patterns

Organize large Django projects with modular settings and scalable architecture patterns.

3|Updated Mar 17, 2026

Search Tags:#architecture #caching #middleware #patterns #orm #django #drf

Ready to run

npx skills add https://github.com/idiaz01/enterprise-superpowers --skill django-patterns-idiaz01

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/idiaz01/enterprise-superpowers/tree/main/content/skills/django-patterns
Command: npx skills add https://github.com/idiaz01/enterprise-superpowers --skill django-patterns-idiaz01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django projects often grow into tangled codebases. This skill provides structured architecture patterns, DRF design conventions, and production-ready practices to keep Django apps maintainable and scalable.

Core Features & Use Cases

Modular project structure with split settings, apps, and services
DRF serializers, viewsets, and validation patterns for robust APIs
ORM best practices, caching, signals, middleware, and testing patterns
Production-ready deployment considerations (security, logging, performance)
Use case: building a scalable REST API for an e-commerce platform with clean separation of concerns

Quick Start

Run the django-patterns skill to scaffold a production-ready Django project skeleton with patterns and best practices.

Frequently Asked Questions about django-patterns

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

FAQPage Schema

How do I structure a large Django project for scalability?▼

Structure large Django projects by applying modular settings, splitting apps and services, and enforcing clear separation of concerns. This approach organizes tangled codebases into maintainable, production-grade architectures.

What are the best practices for Django REST Framework serializers and viewsets?▼

Django REST Framework best practices include structured patterns for serializers, viewsets, and validation. These conventions ensure robust API design and clean separation of concerns for scalable applications.

How do I configure Django settings for development, testing, and production?▼

Configure Django settings by splitting them into modular files for development, testing, and production scenarios. This enforces environment-specific deployment configurations and production-ready readiness.

Can I use this approach for an e-commerce REST API with Django?▼

Yes, this approach suits building scalable REST APIs for e-commerce platforms. It provides structured architecture patterns and DRF design conventions to maintain clean separation of concerns.

What Django ORM and caching patterns should I use for production apps?▼

Production Django apps require ORM best practices, caching, signals, and middleware patterns. These ensure robust performance and maintainable database interactions in production scenarios.

Why does my Django codebase become tangled as the project grows?▼

Django codebases become tangled without structured architecture patterns. Applying modular project structure, DRF conventions, and production-ready practices keeps apps maintainable and scalable.