Chris Boyd: AI Engineering
I build production AI systems, agentic workflows, and automation platforms for work where failure is expensive. My focus is the hard part of applied AI: architecture, permissions, guardrails, observability, and the engineering required to make autonomous software reliable.
I lead frontend platform engineering at FIS in Jacksonville, and before that spent ten years running Apptitude — two decades shipping production software across mobile, enterprise, and AI systems. I write about the gap between impressive demos and systems that survive real users, real data, and real consequences.
Recently
Fable 5 Prompt Guide
Now that Fable 5 is finally available to the public, the first thing worth saying is the least intuitive: most of the prompt you already have is working against you. If you are migrating from Opus 4.8 or an earlier model, your prompts are probably tuned in the wrong direction. Th
The Week Before the Code
Everyone talks about how fast agentic coding is. Nobody talks about the week of thinking that makes it possible. A practitioner's case for treating the PRD as the highest-leverage hour you'll spend on any project.
How I Code: Summer 2026 Edition
Six hours of driving, ten merged PRs, zero humans in the loop. A snapshot of how I actually build software in mid-2026: a monorepo from day one, letter-graded PRDs, hourly agent loops across three dusty Macs, a Design Review gate that keeps ten agents from shipping a ten-personality UI, Neon branches as the safety net, and why I split planning, building, and review across different AI providers.
The 24-Hour Sprint
TL;DR: Agentic coding is compressing the dev cycle into 24 hours. Here's how it looks from the inside.