Developer builds zero-cost local AI stack for coding and market research

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A developer has published a fully local, $0-recurring AI automation stack designed for agentic coding and quantitative market research. The setup uses Aider for AI-assisted coding, routing tasks to local Ollama models by default and falling back to free tiers on Groq and OpenRouter for heavier workloads. Market data is handled by OpenBB, exposed via Model Context Protocol (MCP) servers so the AI agent can directly query real financial data rather than generating hypothetical code. VectorBT is integrated for fast, vectorized backtesting within the same environment. The author argues that a local-first approach with free-tier fallbacks covers most practical development needs at no marginal cost while keeping code and data private.

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