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
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PII & Data Handling: Engineering for Vibe Coders
One of the biggest risks in vibe coding is accidentally treating real user data like test data. Modern AI-assisted development makes it incredibly easy to build fast prototypes, connect APIs, log workflows, and process user-generated content. But speed can quietly bypass an important engineering discipline: responsible data handling. In this article, we explore how PII…
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Rubber Ducking: Engineering for Vibe Coders
One of the most effective debugging techniques in software engineering sounds ridiculous at first: explaining your problem to a rubber duck. Rubber ducking works because explanation forces clarity. The moment you describe your code, architecture, workflow, or AI prompt step by step, hidden assumptions and misunderstandings often become obvious.
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…