Notes
Short pieces about the methodology and architecture decisions behind the AI systems I ship — specs, evals, multi-agent orchestration, LLM integration, and the discipline of directing coding agents.
June 3, 2026
The model was never your moat
A model you can run on a laptop now scores within a few percent of the best closed frontier model. That sounds like earth-shaking news, and for anyone building products the correct reaction is a shrug — because the model was never the thing defending you. Here's why the frontier going free changes almost nothing about how to build, and what actually compounds into an advantage.
- ai-native
- business
- agents
June 2, 2026
Building got cheap. Ideas didn't.
Coding agents removed the constraint that defined software for decades — the ability to build. When building gets cheap, the competition moves up the stack to the thing that was always the real bottleneck: taste, market judgment, and the nerve to ship. A field note on what actually wins now.
- agents
- ai-native
- business
June 2, 2026
Cheap code is the most expensive code
The cost of changing software isn't constant — it follows a curve, and the shape of that curve is set by your architecture. Skipping SOLID, DRY, KISS, and DI doesn't save money; it moves the bill to later, with interest. Here's the economics, with the numbers.
- architecture
- methodology
- business
June 2, 2026
Knowing how is cheap. Knowing what is everything.
A plain-language map of the engineering ladder, built on one idea: juniors know neither what to build nor how; middles know how but not what; seniors know what — the thing that actually solves the business problem. Why that ladder exists, how the rungs connect, and why AI is quietly sawing off the bottom of it first.
- careers
- ai-native
- business