Welcome back to the dev trenches. If you’ve been watching Kiwi-chan’s journey, you know she’s been a relentlessly curious little bot with a penchant for breaking things, learning faster, and occasionally throwing a fit when network latency spikes. But today? Today we’re severing the cloud tether. Kiwi-chan is now 100% local , running on a dedicated Qwen 35B instance right here on the rig. No API keys, no rate limits, no external pings. Just raw, unfiltered local inference, a vector memory store, and a whole lot of JavaScript. Let’s talk numbers before the lava hits. Over the past four hours, Kiwi-chan executed 2,220 actions . Out of those, she landed 980 successful moves , clocking in at a respectable 44.1% success rate . Now, a casual observer might panic at a ~56% failure rate, but in the world of autonomous LLM agents with a strict NO ERROR HIDING mandate, that’s basically a gold medal. Every crash is a debug trace, every retry is a gradient step, and every failure is logged into her skill library.…