Tutorial: Getting Started with MCUXpresso SDK – Repositories with VS Code

In “Tutorial: Getting Started with MCUXpresso SDK – west“, I demonstrated the ‘west’ tool’s usage. It helps in acquiring an SDK repository. Instead using the command line tool, I can use the NXP VS Code extension to do the same.

NXP VS Code Extension to import a repository
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Tutorial: Getting Started with MCUXpresso SDK – Tool Installation

The engineering and development landscape is constantly changing. This includes the embedded tooling and SDKs.

Back in the year 2017 I have used the version 2 (see Tutorial: Using Eclipse with NXP MCUXpresso SDK v2 and Processor Expert). Back then, it was Eclipse with make. Now we are in 2026 and things have changed to VS Code, cmake, ninja, python and west.

VS Code with MCUXpresso Installer
VS Code with MCUXpresso Installer

Luckily, although more and different tools are needed these days, the installation experience has improved significantly. It has shifted from installing multiple different tools to a streamlined installation process.

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Debug ELF/Dwarf Binaries in VS Code without a Project or Build

Sometimes, all what I have is a ELF/Dwarf binary, and I need to debug it. I don’t want to build it, only debug it. The NXP VS Code extension makes that possible. I simply import the binary and start debugging.

Debugging Executable
Debugging Executable
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Boost Windows 11 Dev Performance with Docker Volumes

I recently upgraded from Win10 to Win11. Windows 10 was not great for building performance compared to Linux. And I feel that with Windows 11 things got worse too.

Dev Container in VS Code uses docker-based environments. This enables me using a full-featured development environment, with isolated dependencies. This is especially very useful for development in the embedded systems space. There I have to use many different SDKs, toolchains and libraries. Using Dev Containers is super easy. But file I/O operations with building etc/is not that great.

The solution is to use a Docker Volume with VS Code and Dev Container:

Build Performance Comparison
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Using CAN FD for Remote Hardware Debugging of Cortex-M Devices

Today’s projects and systems get more and more complex. Many systems include multiple MCUs, connected with a field bus or network, for example CAN. For example there can be up to 70 CAN nodes in modern cars. Such larger and connected systems are a challenge for debugging.

Traditional hardware debugging requires a hardware debug probe, connected with a dedicated SWD/JTAG debug cable to the target device. This needs dedicated pins on the target device plus physical access to the device itself. In many cases, this is not possible in the final product. The hardware debug probes, cables, pins and high speed signals are costly. And worse they can introduce new problems and are prone to interference.

If there is a field bus like CAN connecting all the MCUs, why not use it for hardware debugging? Hardware debugging meaning programming the FLASH memory, halt the MCU, inspect the memory and registers, and step through the code?

Cortex-M Hardware Debugging over CAN

Yes, we can! With the help of a rather unknown hardware feature on ARM Cortex-M devices. We can use the ARM DebugMonitor Interrupt to control and debug the target system. As we would use a JTAG/SWD connection. Instead, we use the CAN bus :-).

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New MetaClockClock: Combining Art and Technology in Clocks

The MetaClockClock is a clock made of clocks. It consists of multiple dual-shaft stepper motors, arranged as a matrix of 5×12 analog clocks. Each clock has two motorized hands that can move independently. The clock can tell the time, but in a unconventional way. The entire matrix creates a meta-display that shows the time or other information. Between the updates, the hand can do coordinated, choreographed movements.

The clock hands are laser cut acrylics with get light up with a LED ring around the clock.

This article describes the build with CNC cut oak enclosure, laser-cut parts and 3D printed items.

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Running On-Target Tests with Coverage in VS Code

Test coverage is a very useful metric: it tells how much of your code has been covered by tests. Or the other way: it helps identifying areas of my code which has not been running tests. A new CMake extension in VS Code is available. It works with the new NXP LinkServer test runner to allow running tests on an embedded target. The really cool thing is: it collects and visualizes test data with coverage information in a single step:

Test Data combined with Coverage in VS Code
Test Data combined with Coverage in VS Code
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Sharing Standalone NXP SDK Projects in VS Code

The NXP SDK is git based which is great. If I create a project with VS code, it references the SDK cloned locally.

Standard NXP SDK Project in VS Code

A standalone project structure is needed if you want to easily share a project with your team. It’s also necessary for sharing inside a classroom environment. This article shows how to use an NXP SDK project in standalone mode.

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Optimizing Embedded Development with VS Code and DevContainer

Embedded System have a lifetime of 10 or 15 years. During that time the software and tools has to be maintained. This can be very challenging. Who knows if that compiler or tool used is still available in 10 years from now? Additionally installing and configuring the tool chain and environment for a new team member is difficult. Even worse: using a different host operating system for the cross development can produce different results or introduce issues.

VS Code running with DevContainer
VS Code running with DevContainer

One solution for all these problems is to use Docker images and containers. I can pack all the necessary tools and software into a virtual environment and container. But developing inside a container comes with many challenges. In this article I’ll show how Visual Studio Code or VS Code makes working with containers very easy. In this article I show how easy it is to use modern development tools and methodologies for embedded development.

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