Second order effects
Read OriginalThis article analyzes the second-order effects of AI's evolution, particularly in AI-for-software. It discusses how AI coding tools could eliminate many low-level technical decisions (like choosing a database or sorting algorithm) by making them defaults within LLMs. It also examines the business implications, using Tailwind CSS as a case study where AI-driven answers reduced documentation traffic, potentially harming commercial conversion, forcing a rethink of how open projects and services are structured.
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