Sandboxed Claude Code
If you are interested in running Claude inside a container to ensure it only receives the context of the repository or project you are working on and not the entire operating system, here is a practical guide translated and adapted.
Why use a container for Claude
Running Claude in a container allows you to isolate the model and limit its access to the code and files you mount in the container volume. This reduces risks, prevents the agent from having unnecessary access to credentials or sensitive system files, and makes it easier to reproduce the environment on other machines or CI pipelines.
Create your own sandbox image
You can build an image based on node alpine that creates a non-root user, installs npm and the claude-code package, and leaves a working directory ready to mount your project. Conceptually, the steps the Dockerfile should include are the following: use node:24-alpine as the base, create a non-root claude user, install npm and nodejs, install @anthropic-ai/claude-code globally, define WORKDIR as /workspace, give ownership of /workspace to the claude user, and run the container with USER claude.
Run an ephemeral container with access to your working directory
To run the image and mount your current directory into /workspace, use a command like docker run -it --rm -v $(pwd):/workspace:rw claude-sandbox. This way, everything Claude sees will be what exists inside /workspace and not the rest of the system.
Optional alias for added convenience
If you want to save time, add a line to your .bashrc or .zshrc like alias claude-sandbox=docker run -it --rm -v $(pwd):/workspace:rw claude-sandbox to launch the container from any directory with a single command.
Practical advantages
With this approach, you prevent an AI agent from accidentally performing actions outside the scope of the project, protect your environment, and maintain a clear perimeter for testing and experiments. Additionally, the container is reproducible and facilitates integrations in deployment pipelines or collaborative development.
About Q2BSTUDIO
At Q2BSTUDIO, we are a custom software and application development company specialized in artificial intelligence, cybersecurity, and cloud services. We offer custom software, custom application solutions, and artificial intelligence consulting for businesses. Our experience includes AI agent integration, AI projects for businesses, business intelligence services, and Power BI solutions for advanced analytics. We also provide AWS and Azure cloud services and cybersecurity strategies to protect your data and operations.
How Q2BSTUDIO can help you
If your goal is to incorporate Claude or other models in a secure and controlled environment, we can design container architectures, continuous integration pipelines, access policies, and custom solutions that include AI agents, Power BI analytics, and deployment on AWS and Azure cloud services. We offer cybersecurity audits, business intelligence solution design, and custom software development that enhances automation and data-driven decision-making.
Keywords
custom applications, custom software, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI for businesses, AI agents, Power BI
Contact and next step
If you want a secure implementation of Claude or any AI agent within isolated environments, contact Q2BSTUDIO and we will help you design the right solution for your needs, from container sandboxing to integration with cloud services and business intelligence tools.
