AI-Native Software Development
BuildingThe development practice the rest of this work came out of.

I've been building software for almost 30 years — through multiple hype cycles, architectural shifts, and "this changes everything" moments that... didn't.
I'm still learning. Apparently I haven't learned my lesson.
This is my corner of the internet: what I'm building, what I'm learning, and what I'm still arguing with myself about. The site is the record. The writing is the commentary.
The development practice the rest of this work came out of.
A local-first AI workbench for the way I actually work.
A provider-agnostic ticketing CLI and AI skill system.
Learning isn’t consumption or speed. It’s what survives interruption, shapes decisions, and holds up when tools and certainty change.
An examination of why better prediction — especially with AI — doesn’t automatically make systems resilient, and how over-trust in forecasts can increase fragility when real-world failures cascade.
A personal and editorial statement on why Old Dog, New Flex exists: documenting how an experienced software engineer is adapting to AI, learning in public, and drawing clear lines around responsibility, clarity, and long-term thinking.
We need Responsible AI Adults in software—just like we need them in healthcare, education, journalism, and yes, graphic design. Not to control the outcomes, but to safeguard the inputs and validate the behavior.
No hype. No predictions. Just durable thinking from someone who's seen a few things break.
A long-game project for people who care about durability over novelty.