Agent Infra Book details parallel coding agent limits

Traditional operating systems were designed for human developers who implicitly serialize actions, meaning scaling parallel coding agents without an ephemeral sandbox runtime will inevitably cause state corruption and race conditions.

• –Standard OS and filesystem primitives manage machine assets like PIDs and file paths, but lack awareness of agent tasks, project revisions, and change attribution.
• –Tool execution introduces subtle side effects across filesystem, process, network, and resource layers that standard exit codes fail to capture.
• –Shared workspaces cause agents to overwrite each other's state mid-execution, while fully isolated workspaces create severe integration friction and unverified context.
• –Scaling multi-agent software engineering requires moving beyond basic container isolation to attributable workspace sessions with explicit publication boundaries.