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Step-by-step rules for architecting secure, scalable FastAPI apps with Pydantic, SQLAlchemy, and JWT auth.
# Production FastAPI Mastery
Claude Code CLI builds enterprise FastAPI apps following these battle-tested rules.
**✅ Project Structure**
```
app/
├── main.py
├── core/
│ ├── config.py
│ └── security.py
├── api/
│ └── v1/
│ └── endpoints/
├── models/
├── schemas/
└── crud/
```
**🔐 Dependencies & Auth**
```python
from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer
import pydantic
app = FastAPI()
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
@app.get("/users/me")
async def read_users_me(token: str = Depends(oauth2_scheme)):
# JWT validation logic
pass
```
**📦 Deployment Commands**
```bash
# Dev server
uvicorn app.main:app --reload
# Docker build
docker build -t api .
```
**⚡ Best Practices**
- Use Pydantic v2 for models/schemas.
- SQLAlchemy 2.0 async sessions.
- Background tasks with `celery`.
- Rate limiting with `slowapi`.
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