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The article argues that handling code-generating AI systems requires adopting lean manufacturing principles rather than "backpressure" approaches. Instead of simply slowing down AI output, effective systems should focus on quality through practices like single-piece flow, autonomation, and poka-yoke—design patterns that prevent errors by construction and detect problems early. Since robots cannot be held responsible for their actions, the emphasis must be on designing robust processes that tolerate imperfection, a philosophy that should actually apply to human work as well.
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