###🧩 Use Case: Secure AI Coding with OpenCode + GripoFlow Sandbox

Developers use OpenCode to speed up coding, debugging, and project setup. Once connected to a project, the AI can quickly start writing code and improving workflows.

However, this also means the AI runs in the same environment as sensitive files, API keys, and system data. As AI agents become more powerful, it becomes difficult to fully control what they can access or execute, which can introduce security risks.

👉 Watch the workflow here:

This demo shows OpenCode running inside a GripoFlow sandbox, connected via Terminal and VS Code, while remaining fully isolated from the local machine.

🛡️ GripoFlow Sandbox Approach

GripoFlow Sandbox solves this by running AI coding agents inside an isolated cloud environment instead of your local system.

This ensures that:

Your local files and credentials are never exposed The AI operates in a controlled and secure environment Each session starts with a clean, consistent setup ⚙️ How Developers Use It

Developers continue using OpenCode through Terminal or VS Code as usual. The difference is that all execution happens inside the GripoFlow sandbox.

This allows teams to:

Build and test AI workflows safely Experiment without risking local data Maintain consistent development environments Scale AI usage with better control 🚀 Result

With GripoFlow Sandbox, you get the speed of AI-powered development with the safety of isolated execution.