AI Agent Sandboxes and Safe Code Execution Runtimes in Production: Comparing E2B, Modal, Daytona, and Docker/gVisor Architecture, Isolation Boundaries, Startup Latency, and Serving Economics
AI Agent Sandboxes and Safe Code Execution Runtimes in Production: Comparing E2B, Modal, Daytona, and Docker/gVisor Architecture, Isolation Boundaries, Startup Latency, and Serving Economics Autonomous AI agents, evaluation harnesses, and code generation pipelines increasingly execute untrusted code generated directly by Large Language Models. When an agent runs dynamic Python scripts, executes terminal shell commands, installs arbitrary packages via package managers, or browses the web, it int
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