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.
Recent Articles
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Dependency Management: Engineering for Vibe Coders

Modern prototypes depend on frameworks, SDKs, AI providers, cloud services, and open-source libraries. Every dependency accelerates development, but each one also introduces risk. This article explores how vibe coders can manage dependencies intentionally by limiting unnecessary packages, pinning versions, monitoring updates, and abstracting external services. The goal is simple: move fast without accumulating hidden instability.
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API Design Basics: Engineering for Vibe Coders

APIs are the contracts that connect modern systems, from frontends and agents to external services. In fast prototypes, APIs are often created reactively, leading to inconsistent endpoints, unclear responses, and fragile integrations. This article explains how vibe coders can design simple, consistent API contracts, plan for evolution, and standardize error handling so their systems remain…
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…



