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Recent Articles
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Fail Fast vs Fail Safe: Engineering for Vibe Coders
Every application eventually encounters failures. A database becomes unavailable, an API times out, an AI model produces an unexpected response, or a payment processor returns an error. The question is not whether failures will happen, but how your application responds when they do. In this article, we explore fail fast versus fail safe thinking for…
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Defining What “Done” Means: Letting AI Spell Out Every Condition So You Can Decide Which Ones Count
When you hand a feature to AI without saying what “done” means, it picks the easiest possible definition: the code runs and the happy path works. Everything else (the empty states, the error cases, the “what if two people do this at once”) quietly goes unbuilt, then resurfaces later as “bugs” that were really just…
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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…