django-patterns

Guide Django REST API architecture with ORM, caching, signals, and middleware patterns.

70|42|Updated Mar 27, 2026

Search Tags:#architecture #caching #middleware #orm #django #service-layer #rest-framework

Ready to run

npx skills add https://github.com/tranhieutt/software_development_department --skill django-patterns-tranhieutt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/tranhieutt/software_development_department/tree/main/.claude/skills/django-patterns
Command: npx skills add https://github.com/tranhieutt/software_development_department --skill django-patterns-tranhieutt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the lack of consistent Django architecture, ORM usage, caching, and DRF conventions that make production applications brittle and hard to maintain.

Core Features & Use Cases

Structured Layouts & Settings: Recommends project directories, split settings for dev/test/prod, and logging/security best practices.
Model & ORM Excellence: Covers custom QuerySets, managers, field indexing, constraints, and serialization safeguards for robust data layers.
DRF & Service Patterns: Details serializers, viewsets, custom actions, service layers, and request handling for secure REST APIs.
Performance, Signals, & Middleware: Guides caching strategies, signals for lifecycle events, middleware patterns, premature optimization avoidance, and quick reference checklists.

Quick Start

Ask the django-patterns skill to review my Django project and recommend structure, ORM, caching, and DRF best practices.

Frequently Asked Questions about django-patterns

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

FAQPage Schema

What is the best way to structure a scalable Django REST Framework project?▼

To structure a scalable Django REST Framework project, use split settings for dev/test/prod environments, dedicated project directories, and service layers to separate business logic from viewsets and serializers for maintainable production applications.

How do I implement custom QuerySets and managers for complex ORM queries in Django?▼

You implement custom QuerySets and managers in Django to encapsulate reusable database query logic, ensuring robust data layers with proper field indexing and constraints for complex ORM filtering and retrieval operations.

When should I use caching strategies and signals in a Django application?▼

Use caching strategies and signals in a Django application to handle performance bottlenecks and model lifecycle events, but avoid premature optimization by applying them only when production-ready conventions demand it.

Does this Django architecture guidance cover middleware patterns and security best practices?▼

Yes, this Django architecture guidance covers middleware patterns and security best practices, providing production-ready conventions for request handling, logging, and middleware configurations to ensure robust web applications.

How do I design serializers and viewsets for secure Django REST APIs?▼

To design secure Django REST APIs, implement serializers with data validation safeguards, use viewsets with custom actions, and isolate business logic in a service layer to handle requests securely.

What are common limitations of not using a service layer in Django applications?▼

Without a service layer in Django applications, business logic bloats viewsets and models, making production applications brittle, hard to maintain, and lacking consistent architecture, ORM usage, and DRF conventions.