Building A Generative AI Platform

Chip Huyen outlines a comprehensive reference architecture for production generative AI platforms, covering the full stack from basic model API calls through context augmentation, guardrails, model routing/gateways, caching, and observability. The post progresses from minimal setups to complex agentic pipelines with write actions, making it a practical blueprint for engineers moving from prototype to production. Particularly valuable for teams deciding which components to add incrementally based on actual system needs.