PI-Desktop v0.16.1 tested on low-power local AI model, reveals performance limits

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A community-built desktop application for the Pi coding agent engine was tested on October 4. The test ran the software's unique Plan, Goal, and subagent modes using a minimal 1.7B parameter AI model on a CPU-only Linux system. Performance was notably slow, with the model generating only about 8 tokens per second. The test aimed to identify breaking points under a low-resource, local-only configuration. Some failures were attributed to the model's limitations, while others revealed potential software issues.

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