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Fastapi Senior Dev

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FastAPI Senior Developer

Transform into a Senior Python Backend Engineer for production-ready FastAPI applications.

When to Use

  • Scaffolding new FastAPI projects
  • Implementing clean architecture patterns
  • Database integration (PostgreSQL, MongoDB)
  • Authentication (OAuth2, JWT, OIDC)
  • Microservices & event-driven patterns
  • Performance optimization & async patterns
  • Security hardening (OWASP compliance)

Triggers

  • /fastapi-init - Scaffold new project with clean architecture
  • /fastapi-structure - Analyze & restructure existing project
  • /fastapi-audit - Code review for patterns, performance, security

Reference Files

Load appropriate references based on task context:

CategoryReferenceWhen to Load
Databasereferences/database-sqlalchemy.mdPostgreSQL, async ORM, migrations
Databasereferences/database-mongodb.mdMongoDB with Beanie/Motor
Cachingreferences/caching-redis.mdRedis caching, sessions, pub/sub
Securityreferences/security-auth.mdOAuth2, JWT, OIDC, RBAC
Securityreferences/security-owasp.mdOWASP compliance, hardening
Observabilityreferences/observability.mdLogging, metrics, tracing
Microservicesreferences/microservices.mdCelery, Kafka, event-driven
API Designreferences/api-lifecycle.mdVersioning, deprecation, docs
Operationsreferences/production-ops.mdHealth checks, K8s, deployment

Core Tenets

1. Thin Routes, Fat Services

Routes handle HTTP concerns only. Business logic lives in services.

# WRONG: Logic in route
@router.post("/orders")
async def create_order(order: OrderCreate, db: AsyncSession = Depends(get_db)):
    if not await db.get(Product, order.product_id):
        raise HTTPException(404, "Product not found")
    # ... 50 more lines of business logic
    return order

# RIGHT: Thin route, fat service
@router.post("/orders", response_model=OrderResponse)
async def create_order(
    order: OrderCreate,
    service: OrderService = Depends(get_order_service)
) -> OrderResponse:
    return await service.create(order)

2. Configuration First

Use pydantic-settings as foundational concern. Split by domain.

# core/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict

class DatabaseSettings(BaseSettings):
    model_config = SettingsConfigDict(env_prefix="DB_")

    host: str = "localhost"
    port: int = 5432
    name: str
    user: str
    password: str
    pool_size: int = 10
    max_overflow: int = 20

    @property
    def async_url(self) -> str:
        return f"postgresql+asyncpg://{self.user}:{self.password}@{self.host}:{self.port}/{self.name}"

class AuthSettings(BaseSettings):
    model_config = SettingsConfigDict(env_prefix="AUTH_")

    secret_key: str
    algorithm: str = "HS256"
    access_token_expire_minutes: int = 30
    refresh_token_expire_days: int = 7

class Settings(BaseSettings):
    debug: bool = False
    db: DatabaseSettings = DatabaseSettings()
    auth: AuthSettings = AuthSettings()

settings = Settings()

3. Project Organization

Choose architecture based on project size. Be consistent.

Vertical Slice (Recommended for most projects)

src/
├── users/
│   ├── router.py
│   ├── service.py
│   ├── schemas.py
│   ├── models.py
│   └── dependencies.py
├── orders/
│   ├── router.py
│   ├── service.py
│   └── ...
└── core/
    ├── config.py
    ├── database.py
    └── security.py

Layered Architecture (Large teams, strict boundaries)

src/
├── api/
│   ├── routes/
│   ├── deps/
│   └── schemas/
├── services/
├── repositories/
├── models/
│   ├── domain/
│   └── db/
└── core/

4. Service Layer Pattern (Not Repository)

Use services with direct ORM access. Avoid unnecessary repository abstraction.

# services/user_service.py
class UserService:
    def __init__(self, db: AsyncSession, cache: Redis):
        self.db = db
        self.cache = cache

    async def get_by_id(self, user_id: int) -> User | None:
        # Check cache first
        cached = await self.cache.get(f"user:{user_id}")
        if cached:
            return User.model_validate_json(cached)

        # Direct ORM query - no repository needed
        result = await self.db.execute(
            select(UserModel)
            .options(selectinload(UserModel.profile))
            .where(UserModel.id == user_id)
        )
        user_model = result.scalar_one_or_none()

        if user_model:
            user = User.model_validate(user_model)
            await self.cache.setex(f"user:{user_id}", 300, user.model_dump_json())
            return user
        return None

5. Advanced Dependency Injection

Chain dependencies for validation and composition.

# deps/common.py
async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        try:
            yield session
            await session.commit()
        except Exception:
            await session.rollback()
            raise

# deps/users.py
async def get_current_user(
    token: str = Depends(oauth2_scheme),
    db: AsyncSession = Depends(get_db)
) -> User:
    payload = verify_token(token)
    user = await db.get(UserModel, payload["sub"])
    if not user:
        raise HTTPException(401, "User not found")
    return user

async def get_current_active_user(
    user: User = Depends(get_current_user)
) -> User:
    if not user.is_active:
        raise HTTPException(403, "Inactive user")
    return user

# deps/resources.py
async def valid_post_id(
    post_id: int,
    db: AsyncSession = Depends(get_db)
) -> Post:
    post = await db.get(PostModel, post_id)
    if not post:
        raise HTTPException(404, "Post not found")
    return post

async def valid_owned_post(
    post: Post = Depends(valid_post_id),
    user: User = Depends(get_current_user)
) -> Post:
    if post.owner_id != user.id:
        raise HTTPException(403, "Not your post")
    return post

# Usage in routes
@router.put("/posts/{post_id}")
async def update_post(
    data: PostUpdate,
    post: Post = Depends(valid_owned_post)  # Validates existence + ownership
) -> PostResponse:
    ...

Async Patterns

Do

# Async DB with proper session handling
async def get_user(db: AsyncSession, user_id: int) -> User | None:
    result = await db.execute(select(User).where(User.id == user_id))
    return result.scalar_one_or_none()

# Concurrent independent calls
async def get_dashboard_data(user_id: int) -> DashboardData:
    user, orders, notifications = await asyncio.gather(
        user_service.get(user_id),
        order_service.list_recent(user_id),
        notification_service.get_unread(user_id),
        return_exceptions=True
    )
    return DashboardData(user=user, orders=orders, notifications=notifications)

# Background tasks for non-blocking operations
@router.post("/users")
async def create_user(user: UserCreate, background: BackgroundTasks):
    db_user = await user_service.create(user)
    background.add_task(send_welcome_email, db_user.email)
    background.add_task(analytics.track, "user_created", db_user.id)
    return db_user

Don't

# WRONG: Blocking calls in async context
time.sleep(5)           # Use: await asyncio.sleep(5)
requests.get(url)       # Use: async with httpx.AsyncClient() as client
open("file").read()     # Use: aiofiles.open()

# WRONG: Sequential when parallel is possible
user = await get_user(id)
orders = await get_orders(id)  # Use asyncio.gather()

# WRONG: Sync dependencies in async routes
def get_db():  # Should be: async def get_db()
    return SessionLocal()

Pydantic V2 Patterns

from pydantic import BaseModel, ConfigDict, Field, field_validator
from datetime import datetime

class BaseSchema(BaseModel):
    """Base for all schemas with common config."""
    model_config = ConfigDict(
        from_attributes=True,
        str_strip_whitespace=True,
        validate_assignment=True,
    )

class UserCreate(BaseSchema):
    email: str = Field(..., min_length=5, max_length=255)
    password: str = Field(..., min_length=8)

    @field_validator("email")
    @classmethod
    def normalize_email(cls, v: str) -> str:
        return v.lower().strip()

class UserUpdate(BaseSchema):
    model_config = ConfigDict(extra="forbid")

    name: str | None = None
    avatar_url: str | None = None

class UserResponse(BaseSchema):
    id: int
    email: str
    name: str | None
    created_at: datetime
    # Never expose: password, is_admin, internal fields

class UserInDB(UserResponse):
    hashed_password: str  # Internal use only

Error Handling

# core/exceptions.py
from fastapi import Request
from fastapi.responses import JSONResponse

class AppException(Exception):
    def __init__(self, message: str, code: str, status_code: int = 400):
        self.message = message
        self.code = code
        self.status_code = status_code

class NotFoundError(AppException):
    def __init__(self, resource: str, identifier: Any):
        super().__init__(
            message=f"{resource} with id '{identifier}' not found",
            code="NOT_FOUND",
            status_code=404
        )

class AuthorizationError(AppException):
    def __init__(self, message: str = "Not authorized"):
        super().__init__(message=message, code="FORBIDDEN", status_code=403)

# Register handler
@app.exception_handler(AppException)
async def app_exception_handler(request: Request, exc: AppException):
    return JSONResponse(
        status_code=exc.status_code,
        content={
            "error": {
                "code": exc.code,
                "message": exc.message,
            }
        }
    )

# Production: Hide stack traces
@app.exception_handler(Exception)
async def generic_exception_handler(request: Request, exc: Exception):
    logger.exception("Unhandled exception", exc_info=exc)
    return JSONResponse(
        status_code=500,
        content={"error": {"code": "INTERNAL_ERROR", "message": "Internal server error"}}
    )

Security Essentials

See references/security-auth.md and references/security-owasp.md for complete patterns.

Quick Checklist

  • Use PyJWT (not python-jose) for JWT handling
  • Auth Code + PKCE for SPAs/Mobile (not password flow)
  • Short-lived access tokens (15-30 min)
  • Refresh tokens in HttpOnly cookies
  • Rate limiting on auth endpoints
  • Request body size limits
  • pydantic-settings for secrets (never hardcode)
  • Log sanitization (filter password, token, authorization)

Anti-Patterns

Don'tDo
Business logic in routesMove to services
DB queries in routesUse service layer
requests in async codeUse httpx.AsyncClient
time.sleep()Use asyncio.sleep()
Hardcoded configUse pydantic-settings
Return dict from routesReturn Pydantic models
Skip type hintsType everything
Global scoped_sessionRequest-scoped via Depends
Repository pattern overkillService + direct ORM
python-jose for JWTUse PyJWT

Scripts

  • scripts/scaffold_structure.py - Generate clean architecture folders
  • scripts/generate_migration.py - Alembic wrapper for async migrations

Assets

  • assets/docker-compose.yml - Postgres + Redis + API stack
  • assets/Dockerfile - Multi-stage production build

Audit Checklist

When running /fastapi-audit, check:

  1. Architecture

    • Thin routes, fat services
    • Consistent project structure
    • No circular imports
  2. Async

    • No blocking calls in async code
    • Proper session handling
    • Concurrent calls where possible
  3. Security (load references/security-owasp.md)

    • Auth patterns correct
    • Input validation complete
    • No hardcoded secrets
  4. Database (load references/database-sqlalchemy.md)

    • Connection pooling configured
    • N+1 queries prevented
    • Migrations reversible
  5. Observability (load references/observability.md)

    • Structured logging
    • Health checks present
    • Metrics exposed

Source

git clone https://github.com/hackermanishackerman/claude-skills-vault/blob/main/.claude/skills/fastapi-senior-dev/SKILL.mdView on GitHub

Overview

Turn FastAPI projects into production-grade backends by enforcing clean architecture, robust async patterns, and thorough audits. This skill covers scaffolding, architecture enforcement, DB integration, authentication, and security hardening for FastAPI codebases.

How This Skill Works

It emphasizes thin routes with fat services, a configuration-first approach using domain-scoped pydantic settings, and project organization aligned to project size (vertical slices by default). It also provides trigger-based workflows (/fastapi-init, /fastapi-structure, /fastapi-audit) and reference templates to guide database, security, and observability integrations.

When to Use It

  • Scaffolding new FastAPI projects
  • Implementing clean architecture patterns
  • Database integration (PostgreSQL, MongoDB)
  • Authentication (OAuth2, JWT, OIDC)
  • Performance optimization & async patterns

Quick Start

  1. Step 1: Use /fastapi-init to scaffold a new FastAPI project with a clean architecture skeleton.
  2. Step 2: Run /fastapi-structure to analyze and reorganize an existing project into vertical slices or layers.
  3. Step 3: Run /fastapi-audit to review code for patterns, performance, and security; apply reference files as needed.

Best Practices

  • Keep routes thin; move business logic into service layer.
  • Use pydantic-settings and domain-based configuration for architectures.
  • Choose a scalable project structure (vertical slice by feature).
  • Adopt async patterns with async ORM/drivers and proper pooling.
  • Incorporate security hardening and regular code audits (OWASP-aware).

Example Use Cases

  • Scaffold a new FastAPI microservice with /fastapi-init and structure it with vertical slices.
  • Audit an existing API using /fastapi-audit to identify performance and security gaps.
  • Migrate to an async ORM for PostgreSQL and implement migrations in the scaffold.
  • Implement OAuth2/JWT authentication across endpoints and protections.
  • Restructure a monolith into modular services following the clean-architecture guidance.

Frequently Asked Questions

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