Insights
Opinionated writing on AI, machine learning, and the business of technology — from our founder Andrew Schwabe. No hype, no paid placement. Just the view from 25+ years of doing this work.
Published on Hackernoon
Published on HackernoonApril 29, 2026
I Trusted AI With My Code… And It Cost Me Half a Day and a Fistful of Tokens
A first-person account of what happens when you defer too much to an AI coding assistant. Claude confidently argued against a proven approach, Andrew followed it, and a half-day of failed tests later the original design was reinstated. A sharp reminder that AI confidence is not the same as AI correctness.
April 16, 2026
We Built a Local Model Arena in 30 Minutes — Infrastructure Mattered More Than the App
Andrew and the team built a local LLM arena in half an hour using LLMesh, an open-source distributed inference broker — and the lesson wasn't about the app. The infrastructure choices underneath it determined everything: speed, reliability, and whether the model comparisons meant anything at all.
April 14, 2026
Nobody Is QA Testing Their LLM Apps (That's Going to Be a Problem)
Most teams ship LLM and RAG applications with no real test suite — and are discovering the consequences in production. Andrew presents a six-layer testing framework that addresses the full stack of quality concerns, from component isolation to red teaming to live traffic monitoring.
March 19, 2026
Alignment-Driven Development: The Orchestration Framework AI-Paired Coding Forgot to Build
AI coding assistants are fast — but fast at what? Andrew argues that the missing layer in every AI-accelerated team is alignment: a documented, auditable process that ensures every product decision stays connected to actual goals. Without it, speed becomes technical debt at velocity.
February 23, 2026
Urgency as Office Culture (duh, AI makes it worse)
AI isn't creating urgency culture — it's amplifying the one that was already there. Andrew examines how leaders can resist the always-on hype cycle, invest in human skills, and address the anxiety that AI acceleration is making worse.
November 17, 2025
Calling All Brains! GenAI Misconceptions
The most dangerous GenAI myths aren't about what the technology can't do — they're about what people believe it already does. Andrew breaks down the most common LLM misconceptions and what responsible AI adoption actually looks like.
October 10, 2025
Doubling Down on Classic AI: Why I'm Betting on Science Over Spectacle in Business
While generative AI dominates the headlines, the case for classic AI in business has never been stronger. Andrew argues that reproducibility, scientific rigor, and reliability aren't limitations — they're exactly what enterprise AI needs to earn trust.
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