One Developer Uses a Fleet of AI Agents to Manage a Multi-Site Portfolio

A solo developer managing multiple websites has built a command-center system that dispatches work to a fleet of autonomous AI coding agents, rather than handling every task personally. The key safeguard is a mandatory human approval gate: the system can propose and queue work, but no agent begins touching files until the operator explicitly approves a specific, pre-reviewed plan. To prevent conflicts when agents run in parallel, each file-editing agent operates in its own isolated git worktree, returning changes as reviewable diffs instead of overlapping edits. This parallel approach means the total time cost equals the slowest single task rather than the sum of all tasks, clearing a backlog that serial work could never fully drain. The developer describes the core shift as moving from doing the work to deciding what work gets done, with autonomy granted within tasks but never over which tasks exist.