This developer reports shipping seven KMP projects after setting up a local inference server. They emphasize that the work is not one-shot or purely vibe coding: the harness is completely custom, and their llama.cpp build includes cherry-picked performance improvements. The model and hardware were not specified, but the example is a useful illustration of how much the surrounding harness and runtime can matter to a production coding workflow.
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