About Human Harness

Human Harness is the production AI engineering channel — covering the full stack from silicon to workflow orchestration. We begin where model-internals content ends: at the inference and serving layer, where you have to put the model in production and serve it to real users at real cost.

The three lanes

• 🔩 Silicon — GPU selection, VRAM math, quantization tradeoffs, KV-cache tuning and cost-per-token analysis with reproducible numbers.
• 🧠 Models — Open-weight model landscape, architecture comparisons, and closed-API vs self-hosted decision frameworks with real data.
• 🔧 Stack — vLLM, SGLang, TGI and TensorRT-LLM head-to-heads, plus OSS orchestration with Dify, Windmill and n8n.

Reproducible by default

Every benchmark we publish ships with the full environment spec, the exact serve and benchmark commands, raw results, and a public config repo. If you cannot reproduce it, it is not a benchmark — it is marketing. This is the trust-building standard no other channel holds consistently.

For attention internals

For how models work inside the engine, Sebastian Raschka's architecture gallery and the Transformer Explainer are the best resources. We cover what happens when you need to serve that model to thousands of concurrent users.