Details
CodeFusion Studio 2.0 is built on Microsoft Visual Studio Code and supports end-to-end AI workflows: developers can import their own machine learning models, verify compatibility with ADI hardware, profile runtime performance layer by layer, generate optimized inference-ready code, and deploy across ADI's embedded processors from low-power microcontrollers to high-performance digital signal processors. A new AI debugging assistant connects to live debug sessions via the Model Context Protocol (MCP) and is compatible with tools such as GitHub Copilot and Claude Code, enabling natural-language hardware inspection and fault diagnosis. A Zephyr-based modular framework provides runtime AI/ML profiling. ADI describes the product as part of its broader 'Physical Intelligence' strategy.
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