Secure Gemini CLI for Cloud development

AI agents are a double-edged sword. You hear horror stories of autonomous tools deleting production databases or purging entire email inboxes. These risks often lead users to require manual confirmation for every agent operation. This approach keeps you in control but limits the agent's autonomy. You will soon find yourself hand-holding the agent and hindering its true capabilities. You need a way to let the agent run in "yolo mode" without risking your system. In this blog you will learn how to secure your Gemini CLI in a way that will allow you to run it in an isolated environment with limited GitHub and Google Cloud access while not worrying that it will do too much damage if things go wrong. We will follow the least privilege pattern to make sure Gemini CLI has all necessary permissions to build your project, but at the same time can’t access systems it shouldn’t touch. The Sandbox premise The solution consists of following components: Using GitHub fine-grained personal access toke