fastapiBuild fast, production-ready Python APIs with type hints, validation, and async support.
Install via ClawdBot CLI:
clawdbot install ivangdavila/fastapiRequires:
run_in_executortime.sleep() in async endpoints blocks everything — use await asyncio.sleep() insteadProcessPoolExecutor or background workersitems: list = [] shares the same list across requests — use Field(default_factory=list)Optional[str] doesn't make a field optional in the request — add = None or use Field(default=None)model_validate() not parse_obj(), and model_dump() not .dict() — v1 methods are deprecatedAnnotated[str, Field(min_length=1)] for reusable validated types instead of repeating constraintslru_cache on expensive dependencies or cache in app.state for singletonsDepends() without an argument reuses the type hint as the dependency — clean but can confuse readersyield dependencies for cleanup (DB sessions, file handles) — code after yield runs even if the endpoint raises@app.on_event("startup") is deprecated — use lifespan async context managerapp.state during lifespan, not as global variablesfrom contextlib import asynccontextmanager
@asynccontextmanager
async def lifespan(app):
app.state.db = await create_pool()
yield
await app.state.db.close()
app = FastAPI(lifespan=lifespan)
dict from endpoints, not Pydantic models directly — FastAPI handles serialization and it's fasterstatus_code=201 on POST endpoints returning created resources — 200 is the default but semantically wrongResponse with media_type="text/plain" for non-JSON responses — returning a string still gets JSON-encoded otherwiseresponse_model_exclude_unset=True to omit None fields from response — cleaner API outputraise HTTPException(status_code=404) — don't return Response objects for errors, it bypasses middleware@app.exception_handler(CustomError) — but remember they don't catch HTTPExceptiondetail= for user-facing messages, log the actual error separately — don't leak stack tracesBackgroundTasks runs after the response is sent but still in the same process — not suitable for long-running jobsOAuth2PasswordBearer is for documentation only — it doesn't validate tokens, you must implement that in the dependencyDepends(get_current_user) in path operation, not in router — dependencies on routers affect all routes including health checksTestClient runs sync even for async endpoints — use httpx.AsyncClient with ASGITransport for true async testingapp.dependency_overrides[get_db] = mock_db — cleaner than monkeypatchingTestClient context manager ensures lifespan runs — without with TestClient(app) as client: startup/shutdown hooks don't fireGenerated Mar 1, 2026
A financial services company uses FastAPI to build a real-time API delivering stock prices and market data to mobile apps and trading platforms. Async endpoints handle thousands of concurrent connections efficiently, while Pydantic models ensure data validation and type safety for incoming requests.
An e-commerce platform leverages FastAPI to manage order processing, inventory updates, and payment integrations. Dependency injection handles user authentication and database sessions, and background tasks send order confirmation emails without delaying response times.
A healthcare provider develops a secure API for patient portals using FastAPI, with OAuth2 for authentication and Pydantic validation to ensure HIPAA-compliant data handling. Error handling and custom exception managers provide user-friendly messages while logging errors internally.
An IoT company uses FastAPI to create an API for managing and monitoring connected devices, with async support handling high volumes of device telemetry data. Lifespan context managers manage shared resources like database pools, and background tasks process data analytics.
A company offers FastAPI-based APIs as a service, charging subscription fees for access to premium endpoints and higher rate limits. Revenue is generated through tiered pricing models targeting developers and enterprises needing scalable backend solutions.
An agency specializes in building custom FastAPI applications for clients across industries, charging project-based or hourly rates. Revenue comes from consulting, development, and maintenance services, leveraging FastAPI's speed and features to deliver production-ready APIs.
A business provides commercial support, training, and proprietary tools (e.g., monitoring plugins, deployment scripts) for FastAPI users. Revenue is generated through support contracts, training workshops, and sales of enhanced tooling packages.
💬 Integration Tip
Integrate FastAPI with async database drivers like asyncpg for performance, and use dependency overrides in testing to mock external services efficiently.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.
A comprehensive skill for using the Cursor CLI agent for various software engineering tasks (updated for 2026 features, includes tmux automation guide).
Write, run, and manage unit, integration, and E2E tests across TypeScript, Python, and Swift using recommended frameworks.
Control and operate Opencode via slash commands. Use this skill to manage sessions, select models, switch agents (plan/build), and coordinate coding through Opencode.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.