Engineering Essays
This collection serves as a living laboratory for the philosophy of software engineering in the age of artificial intelligence. It documents the transition from individual contribution to system orchestration, exploring how we reason about, build, and scale complex adaptive systems.
Here you will find deep dives into AI-driven development patterns, reflections on the changing nature of the engineer's role, and practical architectural guides for building with intelligent agents.
Your Preference Is Irrelevant
In agent-maintained systems, pre-AI language and framework preferences are no longer first-order decision criteria. Choose stacks by training-data density, syntactic predictability, open-source documentation richness, MCP support, and forkability. Human familiarity is secondary unless hard constraints intervene.
Deep Dives & Series
The AI Engineering Transformation
How engineering leaders can transform their teams from individual contributors into high-velocity AI orchestrators while managing risk and measuring real business impact.
The AI Engineer Mindset
Introduction to the 5-part series exploring the fundamental shift in how engineers relate to creation, control, and cognition when directing AI agents.
