WhatA developer tool that orchestrates local open-weight models as coding agents — handling tool calling, context management, and iterative refinement — optimized for consumer GPU constraints.
SignalSeveral commenters report that raw local model quality is now surprisingly good for coding tasks, but the missing piece is orchestration — one user asks whether you can point Claude Code at a local model, implying they want the agentic coding workflow without paying per-token API costs. Others describe building custom 'coding harnesses' and struggling with tool-calling reliability.
Why NowQwen 3.5 35B-A3B running at 100 tok/s on a consumer 5070Ti represents a step-change: for the first time, local models are both fast enough and smart enough to serve as practical coding agents on hardware people already own.
MarketProfessional developers (~30M globally) who currently pay $20-200/mo for cloud coding assistants; key gap is that Claude Code, Cursor, and Copilot all require cloud API calls — no polished local-first agentic coding tool exists.
MoatDeep integration with local inference runtimes and hardware-specific optimizations creates switching costs; a plugin ecosystem for tool definitions and workflows adds a network effect.
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