PythonDjangoDjango REST FrameworkPostgreSQL

Python + Django Prompt Architecture

Stop writing generic prompts. Generate Django-specific prompts that understand models, views, serializers, and admin customisation.

❌ Generic AI Output

# Generic prompt output — broken Django
class UserView(View):
    def get(self, request):
        users = User.objects.all()  # N+1 query
        data = []
        for user in users:
            data.append({
                'name': user.name,
                'orders': [o.id for o in user.orders.all()]
            })
        return JsonResponse(data, safe=False)

✅ Prompt Architect Output

# Prompt Architect output — production Django
class UserViewSet(viewsets.ReadOnlyModelViewSet):
    """Optimised user endpoint with prefetched relations."""
    queryset = User.objects.prefetch_related(
        Prefetch('orders', queryset=Order.objects.only('id', 'status'))
    ).select_related('profile')
    serializer_class = UserSerializer
    permission_classes = [IsAuthenticated]
    pagination_class = StandardPagination
    filter_backends = [DjangoFilterBackend, SearchFilter]
    search_fields = ['name', 'email']

Real Generated Output

Automated Quality Enforcement

Every prompt includes strict bans and deprecation rules tailored to your Python + Django + Django REST Framework + PostgreSQL stack

strict-bans.md — AI Prompt Architect

# ⛔ STRICT BANS — Enforced Constraints

## Framework Version Enforcement
- **BANNED**: React class components → Use functional components + hooks
- **BANNED**: `componentWillMount`, `componentWillUpdate` → Use `useEffect`
- **BANNED**: `getInitialState` → Use `useState` or `useReducer`
- **BANNED**: `createClass` syntax → Use arrow function components
- **BANNED**: PropTypes runtime validation → Use TypeScript interfaces
- **BANNED**: `defaultProps` static → Use ES6 default parameters

## TypeScript Enforcement
- **BANNED**: `any` type annotations → Use `unknown` + type guards
- **BANNED**: `@ts-ignore` comments → Fix the actual type error
- **BANNED**: Non-null assertions (`!`) → Use optional chaining (?.)
- **BANNED**: `enum` keyword → Use `as const` union types
- **BANNED**: `namespace` declarations → Use ES modules

## Security Constraints
- **BANNED**: `eval()`, `Function()` constructors
- **BANNED**: `innerHTML` assignments → Use `textContent` or sanitise
- **BANNED**: Hardcoded secrets, API keys, or credentials
- **BANNED**: `http://` URLs in production → Enforce `https://`
- **BANNED**: `*` CORS origins in production → Whitelist domains
- **BANNED**: SQL string concatenation → Use parameterised queries
- **BANNED**: `localStorage` for auth tokens → Use httpOnly cookies

## State Management
- **BANNED**: Prop drilling beyond 2 levels → Use Context or Zustand
- **BANNED**: `useEffect` for data fetching → Use React Query / SWR
- **BANNED**: Mutable state mutations → Use immutable update patterns
- **BANNED**: Global mutable variables → Use React state or stores

## API & Data Patterns
- **BANNED**: `fetch` without error handling → Wrap in try/catch
- **BANNED**: Untyped API responses → Define response interfaces
- **BANNED**: `console.log` in production → Use structured logger
- **BANNED**: Synchronous file I/O → Use async/await patterns
- **BANNED**: Unbounded `.find()` / `.filter()` on large arrays → Use Map/Set

## CSS & Styling
- **BANNED**: Inline styles for layout → Use CSS modules or Tailwind
- **BANNED**: `!important` overrides → Fix specificity properly
- **BANNED**: Fixed pixel breakpoints → Use relative units (rem/em)
- **BANNED**: `z-index` values > 100 → Use a z-index scale system

❌ The Problem

Generic AI prompts produce Django code that ignores your model relationships, misuses the ORM, and creates security vulnerabilities.

✅ The Solution

Prompt Architect constrains your prompts to Django best practices — proper model inheritance, queryset optimisation, and DRF serializer patterns.

Frequently Asked Questions

Does it support Django REST Framework?

Yes. It generates prompts that include DRF-specific patterns: ViewSets, Serializers, Permissions, Throttling, and Pagination.

Can it handle Django ORM optimisation?

The generated prompts include select_related/prefetch_related hints, queryset annotations, and N+1 detection patterns.

Does it work with Django Admin?

Yes — including ModelAdmin customisation, list_display, inlines, and custom actions.

Technical Deep Dive

How do I set up the initial project architecture with these technologies?

Use AI Prompt Architect to generate a scaffold prompt that includes directory structure, configuration files, environment setup, and dependency installation commands tailored to your exact stack combination. The prompt enforces best-practice file organisation from the start.

See the difference yourself

Stop wasting time fixing AI-generated Python code. Start with the right prompt.

Generate Your First Django Prompt — Free

Related Architectures

Explore more stack-specific prompt engineering guides

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