The renter problem: why cloud LLMs feel inevitable (until they don't) If you work with AI in any
The Per-User Product: How LLMs Are Forcing a New SaaS Architecture When Every User Can Get a Different
When code stops being the source of truth A paradigm shift is emerging in software engineering: Requirements, not
This week I kept circling back to the same idea: the tools are getting smarter, but the real
Technical TL;DR (for busy engineers) Static weights are the bottleneck. Most LLMs can infer in-session, but they don't
TL;DR Time invested: ~4 weeks of focused preparation Resources used: Frank Kane's Udemy course, Stephane Maarek's AI Practitioner
You’re trying to ship AI features fast—without creating a security, cost, or reliability mess.This week’s three insights connect
You don’t need “more AI.” You need AI that survives enterprise constraints: security reviews, platform standards, and teams
I’ve been playing with a bunch of “AI + web” setups lately, and I keep running into the
1. The enterprise AI bet: what AWS is actually optimizing for Here’s the uncomfortable truth about AWS in