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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AI Agent Failure Handling
Traditional software fails loudly: exceptions, stack traces, crashes. AI agents don’t work like that. They fail quietly and confidently, handing you a finished-looking answer to a question they couldn’t actually solve, while downstream steps treat that answer as ground truth. The mature agent systems aren’t the ones that fail least often; they’re the ones that…
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Linting: Engineering for Vibe Coders
One of the easiest ways for software quality to slowly degrade is allowing small inconsistencies, risky patterns, and avoidable mistakes to accumulate unnoticed over time. Modern AI-assisted development makes it incredibly easy to generate large amounts of code quickly, but speed also increases the risk of inconsistent structures, weak assumptions, duplicated logic, and hidden technical…
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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…