Full Stack Django + React-full-stack Django React generator

Example

Design a clear REST API with Django REST Framework: endpoints such as GET /api/products/?page=1, POST /api/auth/token/, PUT /api/orders/123/ to update order status. Use serializers to validate and shape payloads, Django ORM for relationships and migrations, and database choices like PostgreSQL for relational data and Redis for caching and transient state. For GraphQL use Graphene + Django models to expose flexible queries and subscriptions for real-time feeds.

Scenario

E-commerce platform: model Products, Variants, Orders, Inventory in Django ORM; expose paginated product lists and search endpoints with filtering, caching product lists in Redis; when an order is placed, enqueue fulfillment and inventory-update tasks to Celery; expose admin dashboards via Django Admin for customer support. Example technical flow: user places order (React calls POST /api/orders/), backend creates Order, enqueues Celery task to deduct inventory and notify warehouse, updates order status, then socket or push notification informs React UI to show order progression.

Example

Build reusable UI components (buttons, inputs, modals) with React functional components + hooks, manage remote data with React Query or SWR, handle forms with React Hook Form or Formik, and manage global state via Context or Redux. Use code-splitting (React.lazy + Suspense) and asset optimization (Vite/Webpack) for fast load times. For SEO or initial performance, adopt Next.js or Remix for server-side rendering/static generation and hydrate with React on the client.

Scenario

Interactive analytics dashboard: React renders charts (Recharts, D3, or visx) with virtualization for long tables (react-window). The UI uses React Query to fetch paginated analytics from /api/metrics/, subscribes to a WebSocket /ws/metrics/ for live updates, and provides inline editing forms that PATCH back to the API. Performance choices include memoization (useMemo, useCallback), lazy-loading heavy modules, and client-side caching to minimize API calls.

Example

Integrate third-party services: payments via Stripe (webhooks handled by Django), email via SendGrid or AWS SES, SSO via OAuth2/OpenID Connect. Use Celery + Redis or RabbitMQ to run background jobs (emails, heavy computation), implement Django Channels for WebSocket-based features (chat, live progress), secure APIs with JWT/refresh tokens, OAuth2, and standard practices (HTTPS, HSTS, CSRF protection where applicable, CORS configuration for SPA). For deployment: Dockerize backend and frontend, run Gunicorn + Nginx, use CI/CD pipelines (GitHub Actions/GitLab CI), and host on AWS (ECS/EKS/Elastic Beanstalk), DigitalOcean, or a PAAS like Render/Heroku; serve static assets from a CDN. Observability: Sentry for error tracking, Prometheus + Grafana for metrics, structured logs (ELK/Cloud logging).

Scenario

Scaling a SaaS: after launch, traffic grows. Add Redis caching for hot endpoints, move long-running tasks (PDF generation, report aggregation) to Celery workers, shard read replicas for PostgreSQL or scale RDS, place static assets and client bundle on a CDN, and configure autoscaling groups for backend workers and web nodes. Implement monitoring alerts for error rates and latency, and use DB connection pooling and paginated APIs to keep memory and CPU usage predictable.