writing

Field notes on production AI.

Long-form notes on harness engineering, context, evals, traces, and the unglamorous parts that make coding agents and AI systems useful after the first demo.

editorial map

What this writing is for.

Harness engineering

How coding agents become useful when the repo, tools, tests, browser, traces, and review loops are designed as one operating environment.

Production AI systems

Retrieval, workflow control, permissions, cost boundaries, observability, and the product surfaces people need when the model is wrong or unsure.

Engineering judgment

Notes on using AI tools without outsourcing taste: where automation helps, where it drifts, and how to keep software legible.