AI-Assisted Development: From Idea to System Architecture
How I use AI to compress architecture discovery without confusing speed for finished engineering.
Writing
The writing is about building systems that have to operate in practice: workflow architecture, AI boundaries, data movement, delivery constraints, and the engineering tradeoffs that matter once software leaves the demo phase.
Writing that supports the case studies and explains how the systems are designed to operate in practice.
How I use AI to compress architecture discovery without confusing speed for finished engineering.
Six architecture questions for moving from an AI demo to an operational workflow.
Patterns I use when building automation platforms that need to reduce coordination cost, not just generate output.
How this portfolio uses shared project data, server-rendered pages, local MDX, and a validated contact route, with the tradeoffs behind those choices.