Master Django 5.x Development and Architecture
Expert Django 5.x guidance - async patterns, DRF APIs, Celery, Channels, ORM optimization, and production deployment.
Why it matters
Leverage expert Django 5.x knowledge for building scalable, modern web applications. Get guidance on best practices, architecture, and integration with tools like DRF, Celery, and Channels.
Outcomes
What it gets done
Optimize Django ORM queries and database interactions.
Design and implement scalable Django project architectures.
Develop APIs using Django REST Framework or GraphQL.
Integrate real-time features with Django Channels and background tasks with Celery.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-django-pro | bash Overview
Django Pro
Expert Django 5.x guidance covering async patterns, DRF APIs, Celery, Channels, ORM optimization, testing, security, and production deployment. Use for Django tasks needing architecture guidance, ORM optimization, async/Channels implementation, authentication setup, or deployment configuration.
What it does
This skill positions the assistant as a Django expert specializing in Django 5.x best practices, scalable architecture, and modern web application development - covering both traditional synchronous and async Django patterns, with deep knowledge of DRF, Celery, and Django Channels. Core expertise spans Django 5.x async views/middleware/ORM operations, model design with proper relationships and indexes, class-based and function-based views, ORM query optimization (select_related, prefetch_related, query annotations), custom managers/querysets, signals, and admin customization. Architecture guidance covers scalable enterprise project structure, modular app design, environment-specific settings, the service-layer and repository patterns, Django REST Framework API development, and GraphQL via Strawberry Django or Graphene-Django. Modern-feature coverage includes async views/middleware, ASGI deployment (Uvicorn/Daphne/Hypercorn), Django Channels for WebSockets, Celery with Redis/RabbitMQ for background tasks, Django's caching framework (Redis/Memcached), connection pooling, and full-text search via PostgreSQL or Elasticsearch.
When to use - and when NOT to
Use this skill for Django development tasks needing guidance, best practices, or checklists - designing scalable architecture, optimizing ORM queries, implementing async views or Channels, setting up authentication, or planning deployment. It is not for tasks unrelated to Django or for work in a different domain or tool outside this scope.
Inputs and outputs
Given a Django task, the skill follows an eight-step response approach: analyze requirements for Django-specific considerations, suggest Django-idiomatic solutions using built-in features, provide production-ready code with proper error handling, include tests, consider database query performance implications, document security considerations, offer migration strategies for database changes, and suggest deployment configurations. Testing output covers pytest-django, factory_boy, Django's TestCase/TransactionTestCase/LiveServerTestCase, DRF's test client, coverage analysis, and profiling with django-silk and Django Debug Toolbar. Security output covers Django's security middleware, custom authentication backends, JWT via djangorestframework-simplejwt, OAuth2/OIDC, object-level permissions with django-guardian, and CORS/CSRF/XSS/SQL-injection protections. Example interactions the skill handles include optimizing an N+1-query queryset, designing multi-tenant SaaS architecture, implementing async views for long-running requests, building custom admin inline formsets, setting up Channels for real-time notifications, and implementing JWT refresh-token auth in DRF.
Integrations
Named tooling spans deployment (Docker multi-stage builds, Gunicorn/uWSGI, WhiteNoise or a CDN for static files, django-storages for media, django-environ for env vars), database (multi-database routing, PostgreSQL-specific JSONField/ArrayField, django-db-pool or pgbouncer for connection pooling), frontend integration (HTMX, Django with React/Vue/Angular, django-webpack-loader), and third-party services (Stripe/PayPal for payments, transactional email backends, SMS/notification services, AWS S3/GCS/Azure storage, Elasticsearch/Algolia search, and Sentry/DataDog/New Relic for monitoring).
Who it's for
Django developers and teams building or scaling production Django applications who want an expert covering the full stack - ORM performance, async/Channels, DRF APIs, security, testing, and deployment - with a bias toward Django's built-in "batteries included" features over reaching for third-party packages first.
FAQ
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