AI Engineering Stack GuideBilingual guide to AI workflows, agent runtimes, and production AI systems

Understand model/serving -> data/RAG -> tools/MCP -> agent apps -> harnesses -> workflows -> evals/governance.

Stack-first structure

Each layer is explained before comparison so readers understand what problem each tool owns.

Includes a one-page cheat sheet, interactive wizard, scenario lab, ecosystem map, and starter templates.

Includes source of truth, runtime ownership, governance, context, verification, and adoption trade-offs.

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