Designed to simplify and accelerate the development of AI-enabled embedded systems, CodeFusion Studio 2.0 introduces advanced hardware abstraction, AI integration and automation tools to streamline the journey from concept to deployment across ADI’s processors and MCUs.
“The next era of embedded intelligence requires removing friction from AI development,” said ADI vp Rob Oshana,“CodeFusion Studio 2.0 transforms the developer experience by unifying fragmented AI workflows into a seamless process.”
CodeFusion Studio 2.0 now supports AI workflows, enabling developers to bring their own models and deploy them across ADI’s processors and MCUs, from low-power edge devices to high-performance DSPs (digital signal processors).
The latest platform, based on Microsoft’s Visual Studio Code, features a built-in model compatibility checker, performance profiling tools and optimisation capabilities.
A new Zephyr-based modular framework enables runtime performance profiling for AI/ML workloads, offering layer-by-layer analysis and seamless integration with ADI’s heterogeneous platforms.
This encapsulation of toolchains simplifies machine learning deployment and enhances system-level performance insights.
The updated CodeFusion Studio System Planner now supports multi-core applications and expanded device compatibility, while unified configuration tools reduce complexity across ADI’s hardware ecosystem. Developers benefit from integrated debugging capabilities, including Core Dump Analysis and GDB (GNU debugger) support, making troubleshooting faster and more intuitive.
CodeFusion Studio 2.0 is the latest addition to ADI’s open-source embedded development platform, embodying its commitment to delivering developer-first tools that simplify complexity and accelerate innovation.
As ADI expands its digital roadmap, future releases will bring deeper hardware-software integration, expanded runtime environments and new capabilities tailored to evolving developer needs as they experiment with physical AI.
