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
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.
This source permits summary display only.
Read at the original source