CodeFusion Studio™
Overview
Features and Benefits
AI Debug Assistant for Multicore
Debug smarter with an AI assistant that connects directly to your live debug sessions via the Model Context Protocol (MCP). Compatible with GitHub Copilot, Claude Code, and any MCP-supported AI client, the debug assistant provides intelligent, context-aware debugging capabilities:
- Natural-language hardware inspection, fault diagnosis, and root cause analysis
- Autonomous investigation of crashes, memory corruption, and peripheral misconfiguration through 10 pre-built diagnostic prompts
- Inspect registers, memory, variables, and stack traces with dedicated ARM Cortex-M and RISC-V fault decoding
- Set breakpoints, conditional breakpoints, and hardware watchpoints via natural language commands
- Execute raw GDB commands with built-in safety guards against destructive operations
- Search workspace source code and analyze embedded C/C++ for common bug patterns
- View RTOS threads and cross-core interactions in a unified environment
- Support for both live debugging and post-mortem core dump analysis
Embedded AI Workflow Integration
Streamlined AI model deployment from training to production.
- Import models via GUI or CLI for rapid integration
- Automatic compatibility verification with ADI processors and microcontrollers
- Profile runtime performance using Zephyr-based tools for latency and power analysis
- Generate optimized, inference-ready code directly within the IDE
- Deploy across low-power MCUs and high-performance DSPs
System-Level Orchestration
Simplify complex system configuration with visual resource management:
- 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 for pins, clocks, power modes, and middleware
How It Works
Embedded developers face constant challenges with fragmented toolchains, manual configuration, and time-consuming debugging. CodeFusion Studio addresses these pain points with a unified development environment built on Visual Studio Code and deeply integrated with ADI's hardware ecosystem. From initial system planning through multi-core orchestration, Zephyr RTOS integration, and end-to-end AI deployment, CodeFusion Studio provides the tools you need to move faster, debug smarter, and build with confidence.
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.
AI Debug Assistant (Preview)
Debug smarter with an AI assistant that connects directly to your live debug sessions. Set breakpoints, inspect registers and memory, analyze hard faults, and investigate multi-core issues using natural language — powered by the Model Context Protocol (MCP) and compatible with GitHub Copilot and Claude Code.

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

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

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.

ADI CodeFusion Studio
Step 1:
Install Visual Studio Code, version 1.100 or later.
Step 2:
Launch VS Code, go to Extensions, and install the CodeFusion Studio extension.
Step 3:
Download and install CodeFusion Studio tools and MSDK for macOS, Windows, and Linux.
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)
Documentation & Resources
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CodeFusion Studio Release Notes (Rev. 2.2.0)5/29/2026
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CodeFusion Studio Security Installation Guide11/3/2025
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CodeFusion Studio™ User Documentation11/3/2025
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CodeFusion Studio: Accelerating Embedded Development3/25/2026 -
CodeFusion Studio™ 2.0 Streamlining Physical Intelligence in Embedded Systems2/2/2026 -
Introducing CodeFusion Studio™1/12/2026 -
CodeFusion Studio: System Planner Introduction9/5/2025 -
CodeFusion Studio™ - AI Fusion: Simplifying AI Deployment for Embedded Systems7/31/2025