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Engineering Realities of Post Launch AI: Architecture, Drift, and Operational Control

This story is from 2026-10-30. It is preserved in the archive; the latest stories are on the live feed.

Building an AI proof of concept takes days; maintaining a reliable generative AI pipeline in production takes an entirely different engineering discipline. As an engineering lead running cloud infrastructure and software systems in the US, I frequently review how engineering studios tackle producti…

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  1. 2026-10-30 05:28 · DEV Community — AI
    Engineering Realities of Post Launch AI: Architecture, Drift, and Operational Control

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