WUIC replaces cloud LLM with local Ollama model and adds free VS Code AI assistant

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The WUIC framework's in-product RAG chatbot previously relied on a cloud API for its generation step, incurring per-token costs. Developers replaced that component with a locally hosted Ollama instance running qwen2.5-coder:32b, requiring only a configuration change due to the engine's OpenAI-compatible interface. As a side effect, the same WUIC knowledge base was exposed to VS Code through a lightweight stdio MCP server, enabling an agentic coding assistant with no API key or usage fees. The MCP server wraps the existing REST API and provides two tools — codebase search and full RAG-generated answers — with no external dependencies beyond Node.js 14.18 or later. The team notes the trade-off is real: local models sacrifice response quality and latency compared to cloud alternatives, and the hardware running Ollama represents a tangible infrastructure cost.

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