Software Factory vs. Agentic Loop: What's the Difference?

A software factory is presented as a cloud-based, governed system that coordinates multiple AI agentic loops across the full software development lifecycle, from triage and specification through implementation, review, verification, deployment, and monitoring. While an agentic loop is a single agent’s plan-act-observe cycle for completing one task within a session, a factory provides persistent memory, orchestration between specialized agents, human approval checkpoints, auditability, and measurement-driven improvement across many tasks. The passage argues that merely chaining implementation and review agents does not constitute a factory unless the workflow has shared context, consistent intake and triage, defined and versioned pipelines, governance, and metrics for improving outcomes over time. Warp Factories is described as a control plane that routes work among agents, carries context across stages, allows teams to configure pipelines as code, and supports iterative improvements through observer agents. It recommends beginning with one bounded, measurable workflow such as bug-report triage before expanding the factory into additional lifecycle stages.

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