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Run Your Own AI Coding Stack
A Practical Guide to Local Models, Private Inference, and the Self-Hosting Break-Even Point
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Owning the server does not automatically save money. It gives you a different set of choices.
Run Your Own AI Coding Stack is a practical decision guide for developers and technical teams choosing between a hosted API, a small local model, rented GPUs, and dedicated infrastructure.
Learn how to measure your real workload, set a coding-quality bar, size memory, compare total cost, protect private repositories, run a bounded pilot, serve an OpenAI-compatible endpoint, control access, observe performance, and keep a reliable fallback. Worked examples cover solo developers, small teams, and larger organizations without assuming that everyone needs expensive hardware.
The book uses model families as dated case studies while keeping the method vendor-neutral. Prices, licenses, and capabilities change, so every important decision is paired with a verification step and an exit path.
Build the smallest stack that meets your privacy, quality, latency, and cost requirements-and know when not to self-host.
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