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.
Recent Articles
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Technical Debt: Engineering for Vibe Coders

Speed is a core strength of rapid prototyping, but every shortcut, quick fix, and temporary workaround creates technical debt. That debt is not inherently bad. It becomes a problem when it is invisible and unmanaged. This article explains how vibe coders can take intentional shortcuts, document tradeoffs, and manage technical debt without slowing down iteration…
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Testing in Production: Engineering for Vibe Coders

“Testing in production” sounds reckless, but done correctly, it is one of the safest ways to validate change. Real users generate real conditions that no staging environment can fully replicate. By using feature flags, canary releases, and gradual rollouts, vibe coders can safely introduce new functionality, observe behavior, and reduce risk. This article explains how…
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…



