Get your agents off laptops and onto shared infrastructure

AI agent use becomes more operationally significant when workflows move from individual developers’ laptops to shared infrastructure, where they can run independently of any one person’s device or availability. Laptop-run agents are typically started manually, stop if the machine or connection closes, and leave limited visibility into their actions, costs, or results. In contrast, shared infrastructure can trigger agents through events or schedules, run them in isolated ephemeral sandboxes, and create centralized logs that record each run’s trigger, activity, and cost for authorized team members. The shift is presented as a technical and trust-related challenge rather than a simple maturity milestone, since teams must rely on infrastructure to provide real isolation, reliable automation, and complete records. Upsun Dispatch is described as implementing this model by default through workflows such as pull-request reviews connected to GitHub SaaS or self-hosted GitLab, while still allowing developers to use local agents for day-to-day coding tasks.

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