I build software and document what survives contact with production. This site focuses on LLM systems, developer tooling, and the architecture behind dependable AI features.
Posts are built from first principles: start with mechanism, pressure test with constraints, then connect to practical decisions teams can implement.
I care about clear diagrams, deterministic reasoning, and treating performance and reliability as part of UX, not post-launch cleanup.
Engineers and builders who want to reason precisely about AI systems.
Deep technical essays with custom visuals and concrete implementation context.
Clarity first, hype never, and tradeoffs spelled out so choices stay explicit.