Analog Devices Releases CodeFusion Studio 2.0 for Embedded AI Development

Analog Devices, Inc. has launched CodeFusion Studio 2.0, a major update to its open-source embedded development platform, announced in a press release. The new version is designed to simplify and accelerate the creation of AI-enabled embedded systems across the company’s hardware portfolio.

CodeFusion Studio 2.0 introduces end-to-end AI workflow support, including bring-your-own-model capability, model compatibility checks, and performance profiling tools. It enables developers to deploy models efficiently across Analog Devices’ processors and microcontrollers, from low-power edge devices to high-performance digital signal processors.

The platform, built on Microsoft’s Visual Studio Code, includes a Zephyr-based modular framework for runtime AI and machine learning profiling. This allows layer-by-layer analysis, improving integration with heterogeneous platforms and reducing toolchain complexity.

Additional updates include unified configuration tools, multi-core application support, and integrated debugging features such as Core Dump Analysis and GDB support. CodeFusion Studio 2.0 is now available for download, along with documentation and community resources on Analog Devices’ developer website.