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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Software Development Lifecycle (SDLC): Engineering for Vibe Coders
One of the biggest misconceptions in vibe coding is thinking software development ends when the code works. Modern AI-assisted development makes it incredibly easy to move from idea to implementation quickly, but software still exists within a larger lifecycle involving planning, testing, deployment, monitoring, maintenance, iteration, and operational reliability. In this article, we explore the…
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DevOps: Engineering for Vibe Coders
One of the biggest misconceptions in software development is thinking the work ends when the code runs locally. Modern AI-assisted development makes it incredibly easy to build and deploy applications quickly, but operational reliability introduces an entirely different layer of engineering complexity involving deployment, monitoring, automation, recovery, and infrastructure management. In this article, we explore…
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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…