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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WebSockets vs Server-Sent Events: Engineering for Vibe Coders
One of the first challenges developers encounter when building interactive applications is figuring out how to deliver information in real time. Modern applications often need live updates for AI chat responses, notifications, dashboards, monitoring systems, collaborative tools, and messaging platforms. While both WebSockets and Server-Sent Events (SSE) enable real-time experiences, they solve different problems and…
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Picking What to Log and Monitor: Letting AI Wire Up the Plumbing While You Decide What Failure Hurts
Ask AI to add logging and you get a firehose: every request, every error, a dashboard full of green numbers that makes you feel covered and leaves you just as blind as logging nothing. The plumbing is real work and AI is good at it, but wiring up everything equally means the one failure that…
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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…