This will give you a bash prompt inside the Docker container with all the tools you specified installed and ready to use. Run the Docker container: `docker run -it arm-dev-env`.Build the Docker image: `docker build -t arm-dev-env.`.Navigate to the directory in your terminal.Make sure to replace with your actual email or another identifier if you wish. # Install clang tools for formatting and static analysisĪpt-get install -y -no-install-recommends clang-format clang-tidy & \ # Install the gcc-arm-none-eabi toolchain with C++ support for newlibĪpt-get install -y -no-install-recommends software-properties-common & \Īpt-add-repository ppa:team-gcc-arm-embedded/ppa & \Īpt-get install -y -no-install-recommends gcc-arm-embedded & \ LABEL Set environment variables to non-interactive (this will prevent some prompts)Īpt-get install -y -no-install-recommends \ # Use the latest version of Ubuntu as the base image Upon entering these requirements in the prompt, ChatGPT produces some explainitory text in addition to the following dockerfile output: Certainly! Here's a `Dockerfile` that meets your requirements: Installs clang tools for formatting and static analysisĬan you generate the dockerfile that meets the above requirements?. ![]() ![]() Installs the gcc-arm-none-eabi toolchain with C++ support for newlib.Installs basic linux support tools like update, clean, autoconf, curl, etc.The dockerfile will have the following requirements: I want to create a dockerfile that can be used for embedded software development for an Arm Cortex®-M4 processor. The very first prompt that I would feed to ChatGPT is to tell it what I want to do and then list my requirements. Before we use AI to create a build system, we’re going to use it to create a Dockerfile that when executed by Docker Desktop will create container we can use to build our software. If you use an IDE like Visual Studio Code, you’ll also find that you can either use Docker and your build system through a terminal or customize Visual Studio Code to execute your commands through the user interface. Docker, while I know disliked by many corporate IT departments, can dramatically simplify sharing updates and getting developers up and running quickly. ![]() One additional item that I’ve found to be immensely useful for creating a build system is to also use Docker to package all my tools and dependencies. However, if you are interested in looking at some of the other AI Tools available to embedded software developers, you can check out my post, “ Unveiling the Ultimate 5 AI Tools for Embedded Software Developers”. With an ideal build system defined, we can start to create the build system one piece at a time using an AI tool like ChatGPT. (Source: Embedded Software Design page 23) Figure 1 – An ideal build system that combines essential build configurations and software stacks for any modern embedded system.
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