A hello-world MCP server is easy to ship. A production MCP server that survives contact with real AI agents, real traffic, and real attackers requires an entirely different checklist — and this final article covers everything.
Your AI agent can browse the web, run code, and query databases — but only because someone built a custom integration for each one. There is a better way: the Model Context Protocol (MCP) replaces all that glue code with a single open standard.
Your FastAPI app serves human callers perfectly. But AI agents cannot discover your endpoints, understand their parameters, or use them safely without hand-written integration code. There is a better way — and two patterns to choose from.
FastAPI dropped Pydantic v1 support. If your APIs still use v1, here’s everything that breaks, what changes in v2’s Rust core, and a full migration checklist with code examples.
Stop waiting for the ecosystem to stabilize. Python runs every major AI agent framework — and in Q1 2026, new lightweight entrants changed what production looks like. Here is the map.
Cut AI costs by 90%. vLLM 0.16.0 adds a WebSocket Realtime API compatible with OpenAI and 30.8% throughput boost. Self-host LLM inference.
How to Build a Modern Python API in 2025: FastAPI vs. Flask vs. Django Rest Framework
August 1, 2025
There’s never been a better (or more confusing) time to build an API in Python. Ten years ago, your options were “Flask or… did you say something else?” Now we’re spoiled: FastAPI, Flask, and Django Rest Framework (DRF) are all mature, battle-tested, and—let’s be honest—a…
