When my good friends Deepti & Michael asked me to take pictures with their baby, Soleil, I was honored and at the same time nervous.
Photography for me is something that I have done as a pure hobby, but alas I did it!
A year ago, I wrote about skiing with my 9-year-old (now 10) and how the experience mirrored so much of what I see in the workplace. The fearless kid. The cautious adult. The tension between "just go" and "learn the basics first." A year later, the
Most AI agents are trained to agree: same dataset, same goals, same outputs. But humans don't work like that. We grow by encountering disagreement, adapting, and evolving our perspectives. I'm working on a new approach I've coined: Dialectic Agent Networks (or D.A.N.
Do We Still Need Human-Readable Code in an AI Future? For 70+ years we’ve climbed the readability ladder—from raw opcodes to assembly, to C, to Python and TypeScript. Every step was a concession to human limits: short-term memory, syntax fatigue, cognitive load. But what happens when the authors
AI made it easy. Tasks that once took hours (writing code, drafting content, even debugging) now take minutes. But here's the uncomfortable question: Did we use that time to get better? Or just to do the same things faster? As someone who started programming with books, print statements,