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The sandboxed iframe pattern gives Datasette a safe, extensible surface for running untrusted HTML+JavaScript apps with direct access to a persistent relational database, without risking exposure of private data held in an authenticated Datasette instance.
Drydock shifts the security model for agentic coding from trusting agent behavior to hardware-level containment, so threats like prompt injection or malicious dependencies cannot escape the sandbox to reach the host's credentials, filesystem, or network — regardless of what the agent attempts.
Eve consolidates the durable execution, sandboxed code running, auth brokering, multi-channel routing, and observability that every production agent requires into a single open-source framework, removing the per-team rebuild cycle Vercel describes as the current state of agent development.
The article demonstrates that microVMs via `krun` provide kernel-level isolation for AI coding agents without abandoning the familiar Podman/container workflow, directly addressing the sandbox-escape and privilege-escalation risks that container-only approaches leave open.
QuantmLayer removes the manual rule-writing bottleneck from agent sandboxing by automatically deriving a least-privilege kernel policy from observed agent behavior, making containment of prompt-injected or compromised coding agents practical without per-agent human configuration.
CapaKit is notable for extending sandbox security to the build phase — including dependency installation and script execution — which the author identifies as a gap left by most existing security tools that only protect the app runtime.
Teams evaluating the Copilot SDK for embedded-agent products now have a concrete governance blueprint — covering tool scope, approval gates, identity, and audit logging — to validate before writing application code or demoing to buyers.
Practitioners running local coding agents should understand the concrete security tradeoffs — and the specific mitigations (`/sandbox`, deny rules for credential paths) and architectural alternatives (cloud-based Firecracker micro-VMs) described here.
Teams deploying AI agents in enterprise environments can now get per-session VM isolation, persistent filesystems, and governed identity out of the box — removing the need to build custom sandboxing infrastructure before going to production.
Developers using Codex can now run parallel side conversations, enforce stricter filesystem sandbox policies, and manage plugins from multiple marketplace sources — making the tool more capable and secure for agentic coding workflows.