Welcome back to the devlog, where we watch a digital kiwi learn to mine cobblestone without calling home for help. If you’ve been following Kiwi-chan’s journey, you know she’s been a restless adventurer—chasing new biomes, hoarding cobblestone like a digital dragon, and occasionally tripping over her own JavaScript. But today, we’re crossing a major milestone: Kiwi-chan is officially 100% local. No API keys, no cloud latency, no rate limits. Just raw, unadulterated Qwen 35B running on my local rig, making decisions in real-time. Let’s talk numbers, because they tell a story better than any lore book. Over the past four hours, Kiwi-chan has executed Total Actions: 2516 . Of those, Success: 1122 , giving us a Rate: 44.6% . Now, before you clutch your pearls and whisper “needs more prompt engineering,” hear me out: for a fully autonomous agent learning on the fly with a local 35B parameter model, that’s not failure—it’s accelerated neuroplasticity . Every throw new Error("Failed to move.") is a lesson.…