Engineering
How We Run AI-Generated Code Safely in Docker Containers
Alex Thompson|February 10, 2026|10 min
Running AI-generated code is inherently risky. The agent might install packages, modify files, or make network requests that were not intended. Our sandboxing architecture ensures that none of this can cause lasting damage.
Security Layers
- ●Docker containerization for complete process isolation
- ●Resource limits on CPU, memory, and disk usage
- ●Network isolation with allowlisted domains only
- ●Automatic session termination after timeout
- ●No persistent storage between sessions
- ●Read-only filesystem for system directories
The Architecture
Each agent session spins up a fresh Ubuntu container with a full desktop environment. The agent has root access inside the container but cannot escape it. When the session ends, the container is destroyed. Nothing persists unless explicitly exported by the user.
Security does not have to limit functionality. With proper isolation, AI agents can run code, install packages, and modify files freely, all within a boundary that protects the host system.
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