Developer runs 16 parallel AI subagents in 6 hours to ship a full product integration

A solo developer used Cursor's subagent feature to run 16 parallel AI agents across six hours, producing roughly 500 KB of documentation and shipping a working Cloudflare Worker with dual Stripe and Creem payment support. The agents were organized into four waves of four, with each subagent handling a focused task such as API research, code building, testing, or documentation. Running four subagents simultaneously effectively quadrupled output per hour, since each 30-minute parallel session delivered what would otherwise take 120 minutes sequentially. Between waves, the developer spent 15–20 minutes reviewing and integrating results before dispatching the next batch. The workflow relied on tightly structured prompts — including verified context, reusable assets, and explicit constraints — to prevent agents from drifting due to their lack of persistent memory.