A comprehensive guide to setting up a modern AI development stack has been shared, covering everything from model access providers to deployment infrastructure. The guide walks through the essential components needed to build and ship AI-powered applications.

The modern AI stack involves more than just calling an API. It includes layers for prompt management, evaluation and testing, monitoring and observability, data pipelines, and deployment orchestration. Choosing the right tools for each layer can make the difference between a prototype and a production system.

The guide is aimed at developers who want a clear, practical path from idea to deployed AI application, covering the key decisions and tradeoffs involved in building a robust AI infrastructure.

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