DockerSandboxes
Docker Sandboxes is Docker's official product for providing isolated, ephemeral execution environments designed for AI coding agents. Sandboxes are provisioned via API, run with defined resource limits, network isolation, and filesystem boundaries, and are torn down automatically when the agent session ends. Because the product is Docker-native, it integrates directly with existing container workflows, compose files, and Docker toolchains.
AI coding agents that execute shell commands, install packages, or run generated code require isolation from the host system. Ad-hoc approaches — bare Docker containers, cloud VMs, or developer machines — lack the managed lifecycle, resource constraints, and API-driven provisioning that production agent deployments need. Docker Sandboxes addresses this gap as a first-party product from Docker, providing a standardised sandbox primitive that agents can request and release programmatically.
Placed in Assess at inner position because agent sandboxing is a first-class production engineering concern as AI coding agent deployments scale beyond individual developer use. The inner position reflects that teams deploying agents in production should be evaluating Docker Sandboxes now rather than building ad-hoc container management. Docker's toolchain integration is a meaningful advantage: teams already using Docker for their application stack can adopt the same container conventions for agent sandboxes without introducing a separate isolation technology.
The key evaluation criterion is whether the agent workload requires network isolation and resource limits (Docker Sandboxes is appropriate) or merely filesystem isolation (a simpler container setup may suffice).
