Dev Containers

[ZackBradshaw]

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[ZackBradshaw]

. Define the Base Image: Choose an appropriate base image for the Dockerfile. This is usually an image that contains the programming language runtime. For example, if your application is written in Python, you might choose a Python base image.

2. Set the Working Directory: Set a working directory in the Docker container. This is the directory where your application's code will live in the container.

3. Add Application Code to the Container: Use the ADD or COPY command to add your application's code to the container.

4. Install Dependencies: If your application has any dependencies, install them in the Docker container. For a Python application, you might use pip to install dependencies from a requirements.txt file.

5. Expose Necessary Ports: If your application runs a server that needs to be accessible from outside the Docker container, use the EXPOSE command to expose the necessary port(s).

6. Define the Default Command: Use the CMD command to define the default command that should be run when a container is started from your image. For a Python application, this might be the command to start your application's server.

7. Create a Docker Compose File (Optional): If your application consists of multiple services that should be run in separate containers, create a docker-compose.yml file to define these services and how they should interact.

8. Document the Docker Development Environment: Write clear documentation on how to use the Docker development environment. This should include instructions on how to build the Docker image, how to start a container from the image, and how to interact with the running container.

9. Test the Docker Development Environment: Before merging your changes, test the Docker development environment to make sure it works as expected. This might involve building the Docker image, starting a container from the image, and interacting with the running container to ensure your application works correctly.

Each of these tasks could be a separate sub-task or issue in your project management tool.

[ZackBradshaw]

Swarms Project Development Environment

This repository uses VS Code's Dev Containers to standardize the development environment. To get started, follow these steps:

1. Install Docker Desktop.

2. Install Visual Studio Code.

3. Install the Remote - Containers extension in VS Code.

4. Clone this repository and open it in VS Code.

5. When prompted to reopen the project in a container, click "Reopen in Container".

   If you missed the prompt, you can open the command palette (F1) and run the "Remote-Containers: Reopen Folder in Container" command.

6. Wait for the container to build. This can take a few minutes the first time.

7. You're now developing inside a Docker container! Any changes you make will be reflected in the container.

For more information, see the VS Code Dev Containers documentation.

[ZackBradshaw]

This is working just another option for devs to quickly get on boarded

[kyegomez]

@ZackBradshaw is the code integrated? Or where is it

[ZackBradshaw]

@kyegomez The code for this is the pr linked to this issue #88