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django-patterns

Provide Django architecture guidance for scalable, maintainable web applications.

1|Updated Apr 7, 2026
Search Tags:#architecture#caching#api#middleware#orm#django#drf
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill django-patterns-riftzen-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/django-patterns
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill django-patterns-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a consolidated set of production-grade Django architecture patterns and best practices to reduce technical debt, prevent common performance pitfalls, and make applications easier to maintain and scale.

Core Features & Use Cases

  • Split Settings & Deployment: Clear separation of base, development, production, and test settings with secure defaults for production.
  • Model & ORM Best Practices: Custom QuerySets and managers, indexing, constraints, and patterns to avoid N+1 queries.
  • DRF Patterns & Service Layer: Serializer validation, ViewSet patterns, custom actions, and a service layer for business logic separation.
  • Performance & Operations: Caching strategies, middleware patterns, signal usage, and recommendations for logging and transactional safety.
  • Use Case: Implement a scalable products API with optimized queries, robust serializers, paginated endpoints, and cached listings for high-traffic e-commerce sites.

Quick Start

Create a Django project with split settings, PostgreSQL configuration, a DRF-based products app, optimized QuerySets using select_related/prefetch, and view-level caching following these patterns.

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 Django project with split settings for production and development?▼

Django split settings separate base, development, production, and test configurations with secure defaults. This modular approach prevents sensitive data leaks and simplifies environment-specific deployments by isolating PostgreSQL configuration and deployment-ready parameters.

What's the best way to avoid N+1 queries in Django ORM?▼

Avoid Django ORM N+1 queries using select_related for foreign keys and prefetch_related for many-to-many relationships. Custom QuerySets, managers, database indexing, and constraints further optimize query patterns to ensure scalable data retrieval.

How do I separate business logic from Django REST Framework serializers and ViewSets?▼

Separate business logic from DRF serializers and ViewSets by implementing a service layer. This architectural pattern isolates complex validation and transactional safety rules, keeping serializers focused on data representation and ViewSets handling HTTP request routing.

What caching strategies should I use for high-traffic Django REST APIs?▼

High-traffic Django REST APIs benefit from view-level caching and cached listing endpoints. Implementing middleware patterns and strategic caching reduces database load significantly, which is critical for scalable e-commerce sites handling concurrent requests.

When should I use Django signals versus a service layer for business logic?▼

Django signals handle implicit decoupled actions, while a service layer manages explicit, testable business logic. Use signals sparingly for cross-cutting concerns like logging, but rely on service layers for complex transactional operations to maintain code maintainability.

Does this Django architecture guidance cover middleware and transactional safety patterns?▼

Django architecture guidance covers middleware patterns, signal usage, and transactional safety. It specifies recommendations for robust logging, custom middleware implementation, and atomic transactions to ensure data integrity and reliable operational performance.

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