Letting Go of Old Patterns to Build AI-Native,

What started with autocomplete turned into a full rebuild of how I think, code, and collaborate.

Agile LLM Rethink

Exploring how AI is transforming the traditional Agile process—turning vague ideas into clear prompts, exposing hidden complexity, and raising new questions about the role of experience, team structure, and what it really means to “build” in the age of LLMs.

Why Developers Always Want to Build — and How It Costs Us

Every time I asked my team to evaluate SaaS tools, I watched the same thing happen. A predictable resistance. A build-first mindset. And over time, I realized: it wasn’t just bias — it was culture.

AI Adoption Patterns

I am a developer. While I have no intention of going back to being a staff engineer, wrangling code, branches, PRs, and agile process, I do rely on my background to get things moving. Engineering rigor is the pattern. AI adoption in the tech community has some things to teach (to me).

Economics of Code #1

AI and low-code, in conjunction, are changing the core math for how 'code' is generated, priced, and sold. I am exploring how this math is changing, learning as I go.

Week 2: No Code February

Week 2 was all about remapping a code approach to an AI code approach, with little learning lessons. Big insights are on the value of planning prompts to get better outcomes.

Week 1: Friday's Low Code Brain

This week has been all about the concept of the 'Mixture of Experts' AI concept.

I have "Code Brain"

Paul Krugman outlined the economics of "Car Brain" in his recent article about the congestion economics of cars, commuters, and the city of New Year. That concept resonated in a huge way!