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Local Qwen 3.6 35B with smart coding scaffolds just hit 9/10 on real Go tasks—here's how

Local Qwen 3.6 35B with smart coding scaffolds just hit 9/10 on real Go tasks—here's how

Qwen 3.6 35B 配上聰明的編碼架構,在真實 Go 任務上達到 9/10 成功率

Most people ask: can open models beat GPT-5.4 Codex? But here's a better question: what if you combined a local model, clever scaffolding, self-repair loops, and routing logic running on your home computer—could that actually compete with frontier coding models on real work? Turns out, yes. On a curated 10-task Go evaluation set, a routed local setup hit 9/10 passing tests. That's the kind of result that makes you rethink what "good enough" means for local AI coding. The full breakdown is in the write-up, with code available at little-coder on GitHub.