Leading vibe coders, non-technical founders, and other builders through the decisions that AI makes for you, unless you take control.
Every day, people build software with AI. Most of those projects fail, not because the AI wrote bad code, but because nobody made the decisions the code depended on.
Your competitive advantage begins with asking the right questions.
Stop being intimidated by AI. Start understanding it.
Recent Articles
-
Definition of Done (DoD): Engineering for Vibe Coders
Definition of Done is the difference between a feature that merely works and one that is actually complete. In vibe-coded systems, it is easy to stop once the functionality appears to work, while testing, logging, documentation, and operational readiness get skipped. This article explains how Definition of Done creates consistency, improves reliability, and prevents hidden…
-
AI Makes Everyone Look Experienced. That’s the Problem.
I do code assessments for teams coding with AI. By the time I’m looking at the code, they’ve already audited it themselves, often with AI. They’re confident it’s clean. I always find major problems, and the problems aren’t AI problems. They’re judgment problems. That gap, between what the code looks like and what the person…
Read more articles…
About Alan…
Alan Knox brings over four decades of hands-on experience in technology development and implementation to the challenge of making artificial intelligence accessible…
Resources…
Production-Ready AI:
More than 80% of AI projects fail in production. The Production-Ready AI Solution Framework is designed for Executives, Architects, Engineers… anyone who want to increase the chance of success for an AI project when it is deployed into production.
Also:
- Making AI Work: A Strategic Guide for Businesses
- Free AI Assessment
More resources to come…