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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GitLab Automated CI/CD Embedded Multi-Project Building using Docker

In 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:

Raspberry Pi Pico-W, Espressif ESP32 and Robot with NXP K22FX512
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Versatile OSHW Mini MCU-Link Debug Probe: External, On-Board, or Embedded

Who needs a debug probe, if you have printf()? If doing serious development, you most likely want a hardware debug probe. We at the HSLU IET use different hardware, boards and kits, and for many of the classroom equipment it is very useful to have the debug probe embedded on the target board: less cables, easier to use. For this we have developed a new Open Source Hardware (OSHW) debug probe in KiCad which can used in different ways: as external debug probe, integrated and soldered on top of the target board, or fully integrated and embedded into a custom design.

OSHW Mini MCU-Link Debug Probe
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VS Code: Importing pre-v2.13.0 MCUXpresso SDK Projects

In my previous article I showed how to import, build and debug MCUXpresso SDK projects in VS Code. In my lectures and labs we are using a robot based on the NXP Kinetis K22FX512 ARM Cortex-M4F microcontroller, and there is only the v2.13.0 SDK available.

INTRO Sumo Robot
Sumo Robot with K22FX512

The software on the robot uses the latest NXP MCUXpresso SDK v2.3.1. The he Eclipse based MCUXpresso IDE 11.8.0 works fine with all the 2.x SDKs, up to the latest 2.13.0 one.

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VS Code: MCUXpresso SDK Repository

In a previous article I have installed the MCUXpresso extension and used the MCUXpresso Installer to install the necessary development tools.

In this article I’m going to import the SDK.

Import Repository in VS Code
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Data Converter for MCUXpresso Energy Measurement Data

The combination of the NXP MCUXpresso IDE with the NXP MCU-Link Pro debug probe implements a nifty power and energy measurement tool (see New “MCU-Link Pro”: Debug Probe with Energy Measurement). The eclipse based IDE provides a dedicated view to inspect the data collected. It can export and import data, but it is in a binary format. In this article I present a way to export and then convert the data into .csv or any other format for processing or visualizing it in different ways.

Exporting data to gnuplot and csvplot

Using an open source command line tool, the binary data gets converted into a csv format, which then can be consumed by many tools, e.g. gnuplot.

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NXP MCUXpresso IDE 11.7.0

It is the exam and grading time at the university, and the same time I’m preparing the lectures and labs for the new semester starting mid of February. I’m always heading for using the latest and greatest tools in my labs. A few days ago, NXP released the new version of the MCUXpresso IDE, version 11.7.0. Time to check it out…

NXP MCUXpresso IDE 11.7.0
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Tutorial: Creating Bare-bare Embedded Projects with CMake, with Eclipse included

MCU vendors offer SDKs and configuration tools: that’s a good thing, because that way I can get started quickly and get something up and running ideally in a few minutes. But this gets you into a dependency on tools, SDK and configuration tools too: changing later from one MCU to another can be difficult and time consuming. So why not get started with a ‘bare’ project, using general available tools, just with a basic initialization (clocking, startup code, CMSIS), even with the silicon vendor provided IDE and basic support files?

In this case, I show how you easily can do this with CMake, make and Eclipse, without the (direct) need of an SDK.

NXP LPC55S69-EVK with LoRa Shield
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MCUXpresso IDE 11.6.0

With a steady release train, NXP has released last week a new and updated version of their flagship IDE: the version 11.6.0 of the MCUXpresso IDE.

NXP MCUXpresso IDE V11.6.0

And there are several new and cool features with that release, including a power & energy profiler and CMake support.

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