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MIT Technology Review AI· · Original publication time AI score27

HPE proposes measuring AI coding costs per merged pull requestMachine translation

HPE 主张用每项合并代码变更的成本衡量 AI 编程投入

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HPE recommends tracking cost per active developer and per merged pull request, with a baseline before changing infrastructure. HPE says routing routine work from more than 150 internal applications to on premises open weight models cut token costs by 30% to 50%. It also says owned capacity must account for power, operations, maintenance and depreciation.

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