Copilot like experience with local models. Local models are much less forgiving when you give them the wrong context. If the prompt includes too much irrelevant workspace data, smaller models quickly become slower, less accurate, or start missing the actual problem. Selfcoder tries avoid that by building the request around the specific task instead of blindly pushing too much of the workspace into the prompt. It adapts to the model’s context length and prioritize by available context window
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With focused context, models like Qwen3 27B has been much more useful for everyday coding than expected. It can beat even integrated gpt5-mini and all completely local and private.