The Software Factory Runs in the Cloud. Local Is the Exception.

Software development is shifting from laptop-based coding agents toward cloud-run “software factories,” the author argues, because centralized infrastructure enables organizations to specialize agents, route tasks to cost-effective models, measure spending by outcomes such as reviews or merged pull requests, and manage autonomous work including code review, CI repair, testing, maintenance, and incident triage. Cloud execution also allows agents to consult the appropriate decision-makers for product, technical, security, and access-related changes through an up-to-date organizational ownership map, rather than relying solely on the developer using a local machine. Platform teams are presented as responsible for maintaining shared engineering context, agent and tool registries, permissions, approval requirements, and evidence from runs, ensuring consistent governance across all services. Local agents may remain useful for exploratory planning and resuming paused work, but are expected to become exceptions as repeatable workflows move to managed infrastructure. Drawing on examples from Uber, Anthropic, and Vercel, the piece distinguishes the model, agent harness, runtime, and surrounding governance layer, and concludes that AI token budgets will increasingly belong to the software factory rather than individual developers, whose role will shift toward reviewing and approving automated work.

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