Embedded systems interface showing ARM Cortex model configuration, memory mapping, and data visualization tools

Overview

Features and Benefits

Embedded AI Workflow Integration

  • Bring your own model via GUI or CLI for rapid integration
  • Automatically verify model compatibility with ADI processors and microcontrollers
  • Profile runtime performance using Zephyr-based tools for latency and power
  • Generate optimized inference-ready code directly within the IDE
  • Supports deployment across low-power MCUs and high-performance DSPs

System-Level Orchestration

  • Allocate memory and peripherals visually across multiple cores and devices
  • Use JSON-based configuration for reproducible and version-controlled workflows
  • Central dashboard simplifies system-wide resource planning and debugging
  • Supports heterogeneous SoCs with ARM® TrustZone® partitioning
  • Reduces manual setup errors and accelerates bring-up

Graphical Resource Allocation

  • Use wizard-based setup to reduce configuration time and mistakes
  • Configure pins, clocks, and power modes visually and intuitively
  • Select SDKs and middleware during project creation
  • All config tools are open-source and extensible

Multicore Debugging & Diagnostics

  • Analyze system crashes using integrated core dump analysis tools
  • Automate debugging with Python and JSON-based GDB scripts
  • View RTOS threads and cross-core interactions in one environment
  • Debug multiple cores using a single debugger and IDE
  • Supports both live and post-mortem debugging workflows

How It Works

Embedded developers know the pain of fragmented toolchains, manual configuration, and debugging that feels more like detective work. CodeFusion Studio 2.0 was designed to change that. Built on Visual Studio Code and deeply integrated with ADI’s hardware ecosystem, it offers a unified experience from system planning to AI deployment.

With support for multi-core orchestration, Zephyr RTOS, and AI end-to-end workflows, CodeFusion Studio helps you move faster, debug smarter, and build confidently.

System Planner

Visually orchestrate pins, clocks, peripherals, memory, and inter-core data flows across supported SoCs all from one central dashboard.

Embedded development interface displaying memory block allocation and partition configuration for multiple cores


Embedded AI Tools

Manage AI models from import to deployment with built-in compatibility, profiling, and code generation tools.

AI model management interface for Arm Cortex-M4 and CNN Accelerator in embedded development environment


Workspace Creation Wizard

Start projects faster with a guided setup that integrates SoC selection, templates, and multi-core configuration in one flow - reducing setup time and ensuring consistency across teams.

Core project selection screen in CodeFusion Studio for Arm Cortex M4 and RISC-V setup

ADI CodeFusion Studio

Person working at a dual-monitor setup displaying data management and software interface dashboards Step 1:
Install Visual Studio Code, version 1.100 or later.

Download Visual Studio Code

Step 2:
Launch VS Code, go to Extensions, and install the CodeFusion Studio extension.

Install CodeFusion Studio

Step 3:
Download and install CodeFusion Studio tools and MSDK for macOS, Windows, and Linux.



Downloads & Related Software

Software Development Kit

AutoML for Embedded

AutoML for Embedded, part of the CodeFusion Studio™ ecosystem, empowers developers to train and deploy efficient AI models on resource-constrained platforms.

Get Started: Visit ADI Developer Portal

Visit ADI Developer Portal to begin your CodeFusion Studio download and accelerate your embedded development today.

Systems Requirements

CodeFusion Studio extension is supported on the following host operating systems:

  • Windows 11 (64-bit)
  • macOS 15 macOS 26 (ARM64)
  • Ubuntu 22.04 and 24.04 (64-bit)

Related Hardware (2)

Controller Boards

EV-Kits