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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GitHub Issues & PRs: Engineering for Vibe Coders
Writing code is only part of building software. Managing work and changes is just as important. GitHub Issues and Pull Requests provide a simple way to track tasks, organize development, and safely introduce changes. This article shows vibe coders how to structure work, break features into manageable pieces, and use pull requests as a built-in…
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Design & Technical Requirements: Engineering for Vibe Coders
After defining business and product requirements, design and technical requirements explain how the system should behave. They define user workflows, system constraints, and key architectural decisions. This article shows vibe coders how to capture these requirements in lightweight, actionable ways to keep prototypes cohesive, maintainable, and ready to scale.
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…