Explore how to create a secure environment for Claude Code on Ubuntu, ensuring safe execution of commands.
When using AI coding agents like Claude Code, it's crucial to ensure that they operate within a secure environment. Without proper sandboxing, there is a risk of unauthorized access to files, network connections, and system resources. Understanding the limitations and capabilities of the sandbox is essential to maintain security and trust in the AI's operations.
Begin by preparing your Ubuntu server environment, ensuring all necessary dependencies are installed for Claude Code and Ansible.
Implement the sandbox settings that restrict Claude Code's access to only the files and network connections it needs, ensuring a secure execution environment.
Conduct tests to verify that the sandbox is functioning correctly, checking what files and commands Claude Code can access and execute.
Once testing is complete, deploy the sandbox configuration to your production environment, ensuring that all settings are enforced.
Continuously monitor the sandbox's performance and security, making adjustments as necessary to maintain a secure environment.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
Claude Code reads your coverage report, picks the riskiest untested modules and writes unit tests that pass, one small PR at a time.
Copilot and Claude review each PR for bugs, missing tests and risky changes before a human looks, so reviewers can focus on design.