Daytona developer experience engineer Mislav Ivanda describes a common sandbox lifecycle across competing agent frameworks: create an environment, run a task and remove it. He argues that this shared pattern reflects the need to isolate code executionAn AI agent sandbox is an isolated execution environment that limits which files, processes, networks, credentials, and external systems an agent can access..
Mislav Ivanda compares local allowlists and approval promptsAn agent permission boundary defines and enforces which resources and actions an automated agent is allowed to use., embedded runtimes, and separate sandboxed machines. He explains that a permitted command can have broader effects than its name suggests and that tools invoked from an embedded runtime may still operate outside that runtime.
Mislav Ivanda describes a shift from short-lived code-execution environments toward running whole agents in sandboxes and using many environments for training or evaluationEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria.. He recommends considering the execution boundary early because it influences application architecture and can be difficult to change later.
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