django-fastapi

What problem does it solve?

It prevents slow, error-prone Django/FastAPI development by guiding you through correct framework choices, efficient data access, and consistent API validation and verification.

Core Features & Use Cases

• Framework decisioning: Choose between Django, DRF, and FastAPI based on whether you need ORM/admin, async-first APIs, or microservices-level endpoints.
• Performance-safe data access: Apply Django QuerySet patterns (select_related/prefetch_related/annotate/aggregation) to avoid N+1 queries and wasted work.
• API boundary correctness: Ensure request/response validation and consistent error handling using DRF serializers or Pydantic response models, plus recommended testing and verification checks.
• Use Case: When adding a new REST endpoint to an existing project, generate the right queryset strategy, define serializers or Pydantic models, implement the route with proper auth/permissions, and include tests for happy path and validation failures.

Quick Start

Ask your AI assistant to activate the django-fastapi skill and propose the exact Django or FastAPI approach, including models/query optimizations, the API schema/validation strategy, and a verification checklist for your endpoint.