AI's impact on engineering organizations extends beyond productivity gains; it transforms how knowledge is created, shared, and retained through a fourfold strategy: building knowledge infrastructure, boosting productivity, capturing senior expertise, and upskilling junior developers. Neglecting any of these areas can lead to deskilling juniors, false externalization of knowledge, context poisoning, homogenization of thought, and the burden of curating knowledge systems. The key challenge is shaping this transformation deliberately rather than letting it happen by accident.
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