Visual studio code linux raspberry pi how to#

When you start the debug session you will be prompted to select a SSH Target. Now change your configuration to be either Linux Pi 3 Debug or Linux Pi 4 Debug depending on which device you have.įrom the Debug Pane change the configuration from “Debug” to “Debug Pi”. For a Dev Container the output will be similar to the below. Output from the application will be in the terminal. You can set a breakpoint on the sleep statement. Selecting debug will build the application to target the local build environment, then launch the application under debug. You can do this from the status bar or the Debug pane. Once the Dev Container is up select the Linux Debug configuration, then you select the Debug target. VS Code will prompt you to reopen in a Dev Container, do so unless you are configuring your WSL or Linux environment with the prerequisites found in the. From open the folder where you cloned the project locally. In VS Code you will want the CppTools and Remote Containers extensions installed, they will likely be suggested if not installed already. Using Visual Studio Code to target a Raspberry Pi The Linux Console will open to display output and will appear similar to the below. The build will run in the Dev Container, the output will be deployed to the target, and a gdb connection will be established. Once your remote target is configured start the Hello Pi (Remote Debug) target. You can get to this file from Debug menu or right clicking the CMakeLists.txt in the Solution Explorer and selecting Debug and Launch Settings. Once this information is saved you need to set the remoteMachineName option to the connection you just added in the launch.vs.json. Here you can add your Raspberry Pi or remote Linux connection (note that IP address is more stable for the Raspberry Pi 3). From the toolbar select the Target System dropdown and select Manage Connections. vs/launch.vs.json that is part of the project.īefore debugging add your Raspberry Pi to the Connection Manager. Select the “Hello Pi” debug configuration that is provided by the. Now change your preset configuration to be either Linux Pi 3 Debug or Linux Pi 4 Debug depending on which device you have. The Linux Console will open for output, and for a Dev Container the output will be similar to the below. This will build the application to target the local build environment, then launch the application under debug. vs/launch.vs.json that is part of the project. The debug configuration is provided by the. Once the Dev Container is up select the Linux Debug preset configuration and the Debug target “Hello build machine” in the toolbar. Visual Studio will prompt you to reopen in a Dev Container, do so unless you are configuring your WSL or Linux environment with the prerequisites found in the. Using Visual Studio to target a Raspberry Piįrom Visual Studio 2022 17.5 open the folder where you cloned the project locally. This ensures that we have a glibc version for our build machine that matches the target machine which is necessary to debug the application. It also uses Ubuntu 20.04 as the Raspberry Pi OS we are using is based off of Debian Buster. To ensure the correct compilers are available the Dockerfile used with the Dev Container has all of the dependencies specified. The output from those configurations will only run on the Raspberry Pi they are configured for. There are also pi3-debug and pi4-debug configurations that use the cross compilers for those devices. Using CMakePresets.json we have provided a linux-debug configuration for building the app to run on the Linux host machine. The main.cpp simply prints the name of the host system to the output and waits a few seconds before continuing. Raspberry Pi projectįor this article we have prepared a simple C++ project that can run locally on Linux, on a Raspberry Pi 3 or 4. The techniques shown here will also work if the build machine is natively Linux or WSL, but to make setup easier we will use a Dev Container.

Visual studio code linux raspberry pi how to#

This post is going to demonstrate how to build an application locally in a Dev Container for either a Raspberry Pi 3 or 4, then deploy and debug the application on a Raspberry Pi. For example, for embedded Linux devices you will likely want to cross compiler the application on a more powerful build machine then deploy to the device for debugging. Sometimes though your target is not the same as your build machine. Both can enable you to connect to a remote machine and use it as a build machine and debug your applications there.

There are a number of ways that Visual Studio and Visual Studio Code enable you to interact with remote machines.