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03

Scale and Infrastructure

What separates a system that works from one that works at scale, under load, at a viable cost.

6 lessons · ~80 hours

0 / 6
  1. 01

    Context engineering

    Retrieval, ranking, compression, position — as an engineering surface.

  2. 02

    Loop engineering

    Termination, retries, self-correction. Most agent failures are loop failures.

  3. 03

    Multi-agent systems

    Supervisor, hierarchical, blackboard — and what each coordination pattern costs.

  4. 04

    Distributed agents

    Message passing, shared state, and partial failure across machines.

  5. 05

    Inference optimization

    Quantization, batching, KV caching. Where the latency actually goes.

  6. 06

    AI infrastructure

    Serving, scaling, and fine-tuning economics — your unit costs.