Cold Start Latency in On-Demand Agent Sandboxes
Production deployment of AI agents turns millisecond delays into measurable operating costs.
Contributing Editor
Rafał has been writing about version control systems and developer experience since the Subversion-to-Git transition years, making him one of the few journalists with genuine institutional memory of how branching workflows have evolved. Based in Kraków, he brings a European enterprise perspective to coverage of emerging agent-driven development patterns.
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Production deployment of AI agents turns millisecond delays into measurable operating costs.
Choosing persistent or ephemeral environments determines whether agents rebuild or accumulate state.
Agents executing untrusted code require filesystem isolation that containers alone cannot provide.
Ephemeral sandboxes isolate AI code execution by design, not accident.
Filesystem layout, not prompting, determines whether parallel agents corrupt shared code.
Automatically delete orphaned Git worktrees before they consume hundreds of gigabytes.
Git worktrees give each coding agent its own isolated workspace.