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Django Production Engineering
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 1kalin/afrexai-django-productionExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Complete methodology for building, scaling, and operating production Django applications. From project structure to deployment, security to performance — every decision framework a Django team needs.
Run this 8-signal triage on any Django project:
| # | Signal | Check | Healthy |
|---|---|---|---|
| 1 | Settings split | settings/base.py, local.py, production.py exist |
✅ Split by env |
| 2 | Secret management | SECRET_KEY not in code, DEBUG=False in prod |
✅ Env vars / vault |
| 3 | Database | Using connection pooling (pgbouncer / django-db-conn-pool) | ✅ Pool configured |
| 4 | Migrations | python manage.py showmigrations — no unapplied |
✅ All applied |
| 5 | Static files | collectstatic + CDN/whitenoise configured |
✅ Served properly |
| 6 | Async tasks | Celery/django-q/Huey for background work | ✅ Not blocking views |
| 7 | Caching | Cache backend configured (Redis/Memcached) | ✅ Not DummyCache |
| 8 | Security | python manage.py check --deploy passes |
✅ All checks pass |
Score: count ✅ / 8 — Below 6 = stop and fix foundations first.
myproject/
├── config/ # Project config (was myproject/)
│ ├── __init__.py
│ ├── settings/
│ │ ├── __init__.py
│ │ ├── base.py # Shared settings
│ │ ├── local.py # Development
│ │ ├── staging.py # Staging
│ │ └── production.py # Production
│ ├── urls.py # Root URL conf
│ ├── wsgi.py
│ ├── asgi.py
│ └── celery.py # Celery app
├── apps/
│ ├── users/ # Custom user model (ALWAYS)
│ │ ├── models.py
│ │ ├── managers.py
│ │ ├── admin.py
│ │ ├── serializers.py
│ │ ├── views.py
│ │ ├── urls.py
│ │ ├── services.py # Business logic
│ │ ├── selectors.py # Complex queries
│ │ ├── tests/
│ │ │ ├── te...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
The complete Django production methodology — from project architecture to deployment. Not another tutorial. A battle-tested operating system for building, scaling, and shipping production Django applications.
clawhub install afrexai-django-production
Ask your agent:
Take your Django backend to the next level with an AfrexAI Context Pack ($47) — deep industry context for AI agents building production systems:
# Django Production Engineering Complete methodology for building, scaling, and operating production Django applications. From project structure to deployment, security to performance — every decision framework a Django team needs. ## Quick Health Check Run this 8-signal triage on any Django project: | # | Signal | Check | Healthy | |---|--------|-------|---------| | 1 | Settings split | `settings/base.py`, `local.py`, `production.py` exist | ✅ Split by env | | 2 | Secret management | `SECRET_KEY` not in code, `DEBUG=False` in prod | ✅ Env vars / vault | | 3 | Database | Using connection pooling (pgbouncer / django-db-conn-pool) | ✅ Pool configured | | 4 | Migrations | `python manage.py showmigrations` — no unapplied | ✅ All applied | | 5 | Static files | `collectstatic` + CDN/whitenoise configured | ✅ Served properly | | 6 | Async tasks | Celery/django-q/Huey for background work | ✅ Not blocking views | | 7 | Caching | Cache backend configured (Redis/Memcached) | ✅ Not DummyCache | | 8 | Security | `python manage.py check --deploy` passes | ✅ All checks pass | **Score: count ✅ / 8** — Below 6 = stop and fix foundations first. --- ## Phase 1: Project Architecture ### Recommended Structure ``` myproject/ ├── config/ # Project config (was myproject/) │ ├── __init__.py │ ├── settings/ │ │ ├── __init__.py │ │ ├── base.py # Shared settings │ │ ├── local.py # Development │ │ ├── staging.py # Staging │ │ └── production.py # Production │ ├── urls.py # Root URL conf │ ├── wsgi.py │ ├── asgi.py │ └── celery.py # Celery app ├── apps/ │ ├── users/ # Custom user model (ALWAYS) │ │ ├── models.py │ │ ├── managers.py │ │ ├── admin.py │ │ ├── serializers.py │ │ ├── views.py │ │ ├── urls.py │ │ ├── services.py # Business logic │ │ ├── selectors.py # Complex queries │ │ ├── tests/ │ │ │ ├── te...
# Django Production Engineering 🐍 The complete Django production methodology — from project architecture to deployment. Not another tutorial. A battle-tested operating system for building, scaling, and shipping production Django applications. ## What's Inside - **12-phase production system** — architecture → ORM mastery → DRF → auth → migrations → caching → Celery → testing → performance → deployment → patterns → Django 5.x - **8-signal health check** — score any Django project in 60 seconds - **ORM deep dive** — N+1 prevention, bulk operations, F() expressions, index strategy, QuerySet evaluation rules - **DRF best practices** — service layer pattern, separate read/write serializers, cursor pagination - **Zero-downtime migrations** — 3-step nullable pattern, safety rules, conflict resolution - **Production Celery** — retry with backoff, time limits, idempotent tasks, queue separation - **Security hardening** — 10-point checklist, JWT setup, RBAC permissions, CSP headers - **Testing strategy** — pytest-django, factories, service testing, CI coverage enforcement - **Deployment** — multi-stage Dockerfile, Gunicorn config, GitHub Actions CI/CD, production checklist - **100-point quality rubric** across 8 dimensions - **10 common mistakes** with fixes - **Django 5.x features** — GeneratedField, db_default, field groups ## Install ```bash clawhub install afrexai-django-production ``` ## Quick Start Ask your agent: - "Review this Django project" — instant /8 health score - "Optimize these queries" — N+1 fixes + index recommendations - "Set up DRF for this model" — full serializer + view + URL + test generation - "Production checklist" — P0/P1 audit with specific fixes ## ⚡ Level Up Take your Django backend to the next level with an **AfrexAI Context Pack** ($47) — deep industry context for AI agents building production systems: - **[SaaS Context Pack](https://afrexai-cto.github.io/context-packs/)** — multi-tenancy, billing, onboarding flows - **[Fintech Contex...
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