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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How an Engineer Builds with AI (and How You Can Too)
The reason your AI-built app worked great in the demo and then fell apart with real users is almost never bad code. It’s the hundred small decisions the AI made that you never knew were being made, and a few of them were wrong in ways you couldn’t see. Here’s how an engineer keeps those…
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Backend vs Backend-as-a-Service: Engineering for Vibe Coders
One of the most common architectural decisions facing modern developers is whether to build a traditional backend or use a Backend-as-a-Service platform. Modern AI-assisted development has made both approaches dramatically more accessible. Developers can now generate APIs, business logic, and infrastructure in minutes, while BaaS platforms provide managed authentication, databases, storage, and APIs with minimal…
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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…