What SpaceX-Style Engineering Teaches About Building AI Products
Most conversations about building AI products focus on models, frameworks, and tooling. Far fewer examine the engineering culture required to turn those components into systems that actually work under real conditions. SpaceX is frequently cited for its technical achievements. Less attention is paid to the operating habits that make those achievements repeatable: extreme ownership, rapid […]
Agentic Systems Fail in the Same Places Human Teams Do
There is a persistent belief that autonomy solves coordination problems. In practice, agentic systems tend to fail in remarkably familiar ways. They fail where human teams fail: unclear ownership, weak feedback, missing constraints, and poorly defined success criteria. Adding intelligence and autonomy does not remove these requirements. In many cases it amplifies the consequences when […]
The Quiet Gap Between “Live” and “Actually Working”
Most products that reach “live” are still not actually working.This is one of the most expensive and least discussed gaps in software development. A system can be deployed, accessible, and technically functional while still being unreliable, fragile, or incomplete in ways that matter to real users. The difference between these two states is quiet, and […]