The storage format you choose for AI knowledge directly shapes your system’s latency, token density, and semantic clarity. A pragmatic breakdown of when to use raw Markdown, when to build a RAG pipeline, and why the best production systems use both.
A deep-dive into every layer of a production-grade, fully open-source stack for self-hosting large language models — from the API gateway to the GPU compute plane.
Most teams use Claude Code like a smart autocomplete. The teams getting real leverage treat it as an engineering platform — with CLAUDE.md, permissions, hooks, sub-agents, skills, and CI/CD integration designed in from the start.
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