Build in public
I practiced law for years, built the first app to put Mexico City's earthquake alert on phones back in 2012, and spent the years in between bringing digital transformation to law firms. Today I run Strange Days Tech and I'm building StrayMark — governance and accountability for AI-assisted engineering.
Law degree, CS studies, and a long-standing suspicion that the interesting problems live between the two. This is where I write about building it — decisions, frictions, findings.
now → shipping StrayMark · essays below, no fixed cadence
An article making the rounds this week says agentic coding atrophies you. I think 'atrophy' is the wrong diagnosis — and the error isn't innocent: it folds distinct problems into one bag and presents them as unsolvable. What actually hurts is the gap between our speed and the machine's — and that gap can be closed.
A reply on Hacker News said the best human programmers would never make the mistakes AI makes. We built an entire discipline — code review, linters, postmortems — on the premise that they do. On the asymmetry of scrutiny, and the programmer we never were.
The industry sells AI by how little it needs you. I think that's backwards. The human in the loop was never the inefficiency we're so eager to remove — it was the foundation of trust.
A 7.5 earthquake, a brother calmly looking at the sky, and one question: why can't this alert reach a phone? How I ended up running push delivery for half a million people — and what it taught me.
No newsletter, no algorithm — rss.xml is the contract.