There’s a version of platform strategy that looks beautifully simple on a whiteboard. You pick a PaaS everyone trusts, pay the monthly bill, ship code, and sleep at night. Then one day the vendor quietly shifts focus to “sustainability engineering” and you realize the platform isn’t getting the love it used to. Sound familiar? That’s … Read more
I run a GTM agency for B2B technology companies and part of our offering includes doing some really fun video work. One of the most annoying problems in my workflow has nothing to do with cameras, editing, or rendering. It is the fact that B-roll piles up fast and the value of that footage drops … Read more
Posted without comment so that you can see what an AI post-mortem looks like. For all those folks who let your coding agents run off and do things, this is an example of where they can get lost. Environment: Cursor, Ruby on Rails 8, Tailwind CSS, Hotwire/Stimulus/Turbo. Executive Summary A layout issue (sidebar appearing below content instead of … Read more
Every machine learning engineer eventually encounters this challenge: a model that performs perfectly in a notebook often fails in production. The problem isn’t the algorithm itself; it’s everything surrounding it. In a lab environment, data is clean, schemas are consistent, and dependencies remain stable. However, in a production environment, data changes daily, infrastructure evolves, and … Read more