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  • A
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    An AI engineering team for embedded firmware, lab automation, and hardware drivers. It uses 53 specialized experts and a datasheet-to-release pipeline to produce auditable, hardware-aware code.
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    MIT
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    AutoPatch is a self-healing debugging agent that runs a repo's tests, retrieves similar past fixes from its git history, proposes and applies function-level patches, and re-tests until the suite passes. It exposes this loop as MCP tools for clients like Claude Desktop and Cursor.
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    Transforms single-attempt coding into a multi-attempt, test-validated refinement loop by running your actual test suite and feeding failures back to the LLM as structured directives.
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    A versatile MCP server that enables natural language software development tasks using multiple LLM providers (OpenAI, Anthropic) with real-time visualization, cost management, and a comprehensive tool suite.