Recently I have been asked “How can I debug a Linux application with VS Code?”. I’m covering that topic in my ‘Embedded Application Development Course on Linux”.
I realized, that I have never covered that topic in any of my blog articles. So here we go: I show how easy it is to use VS Code to debug a Linux application. You can use this for example with an Raspberry Pi. Or for example the NXP i.MX93 which I’m using in this article.
Continue readingToday’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?
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 :-).
Continue readingSonarQube from Sonar is a free static analysis tool for VS Code. It is able to analyze the source code and find issues. SonarQube does a similar job as other static analysis tools like CppCheck for VS Code.
Cppcheck is a static analysis tool for C/C++. I have used it a lot for my Eclipse projects. And it runs with VS Code as well.
With Optimizing Embedded Development with VS Code and DevContainer I showed the benefits of using development containers. And with Remote Debugging with DevContainer and VS Code I explained ways use hardware debugging using that concept.
One topic is still open: how to use semihosting with file I/O using development container? The challenge here is that we need to work with two different file systems.
In this article I show how semihosting file I/O can be used with DevContainer.
Continue readingThe NXP SDK is git based which is great. If I create a project with VS code, it references the SDK cloned locally.
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.
Continue readingEmbedded 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.
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.
Continue readingIn CI/CD for Embedded with VS Code, Docker and GitHub Actions, I used GitHub to build a pipeline. This setup supports continuous integration within a CI/CD environment.
This time, let’s do a similar thing. But instead of GitHub, I use GitLab with VS Code. And I use it for a project where three different MCUs are used: the Raspberry Pi Pico-W, an Espressif ESP32 plus the NXP K22FX512 on the Sumo robot:
The year 2024 is coming to its end, time for a Year-End-Processor-Expert-Component-Release.
Also, this is now the 10th anniversary of the releases on Sourceforge, starting with https://mcuoneclipse.com/2014/10/21/mcuoneclipse-releases-on-sourceforge/ back in 2014.
Continue readingIn an earlier article I explained how to generate GNU coverage information, for an embedded application written in C.
In this article, I show the steps and configuration needed to use GNU gcov targeting an embedded application with C++.
MCU on Eclipse 