Small Language Models Will Eat Enterprise AI
Gartner predicts task-specific AI models will be used 3x more than general-purpose LLMs by 2027. Why latency, cost, and privacy push enterprises toward SLMs....
The Local-First Renaissance
Local-first software puts your data on your device first. The cloud becomes optional....
Every Dependency Is Technical Debt
Every dependency you add is a future liability. Why your package.json is technical debt waiting to compound....
Why AI Agents Can't Remember (And What's Changing)
Current AI agents don't learn - they retrieve. New research on reinforcement learning for memory could change that....
Computers Are Cheap, Developers Are Expensive
Why premature optimization wastes developer time. The economics of knowing when code is good enough and when performance actually matters....
The Anatomy of High-Velocity Teams
The traits that high-performing engineering teams share have nothing to do with methodology certifications....
The Anatomy of a Production Outage
The pattern behind production outages: the 2am alert, the escalating panic, the decision that makes it worse....
Documentation as Product: What Open Source Gets Right
Documentation quality determines adoption more than feature completeness....
The Solo Founder Loneliness Problem
Solo founders face psychological costs the startup world rarely acknowledges. The isolation isn't weakness—it's physics....
When Microservices Make Sense
Microservices succeed when you have the right prerequisites: team scale, deployment independence, scaling needs, and operational maturity....
My Web Crawler Crashed a Server at Los Alamos
How a homemade web crawler in 1993 crashed a Los Alamos server, the birth of robots.txt, and why AI companies are breaking the web etiquette that held for 30 years....
Startup Metrics Theater: Vanity vs Value
Vanity metrics like DAU and total downloads create illusions of progress while hiding real problems....
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