12 articles tagged with FastAPI
A real engineering comparison of FastAPI BackgroundTasks vs Celery for sending email in 2026 — covering reliability, retries, failure handling, and when each fits.
Traffic-shaped rate limiting isn't enough when every request has a dollar cost attached. A layered approach: request limits, token-aware budgets, and hard circuit breakers.
A complete build of a retrieval-augmented generation endpoint on top of Postgres and pgvector — chunking, indexing, hybrid search, and the reranking step most tutorials skip.
The Depends() system is the reason FastAPI test suites for LLM services can run in milliseconds without ever touching a real model API. Here's how to structure it so that stays true.
Three ways to run work outside the request/response cycle in a FastAPI app, and the specific traffic patterns where each one is the right — or wrong — choice.
I've now run this migration twice for clients adding heavy AI features to an existing Node backend. Here's the honest ledger — what it actually cost in time, what broke, and when it wasn't worth it.
A step-by-step build of a real token-streaming endpoint in FastAPI: StreamingResponse, server-sent events, backpressure, client disconnects, and the gotchas that don't show up in a demo.
Most async Python code I review still blocks the event loop somewhere. A field guide to the patterns that hold up once you're fanning out to model APIs, vector stores, and databases at once.
A hands-on walkthrough of the Pydantic v2 patterns that actually hold up when your endpoint's request or response body is generated, in part, by a language model.
Node.js won the last decade of API backends. For AI products, the calculus flipped. Here's the actual reasoning — not hype — behind why most AI teams reach for FastAPI first.