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AI agents didn’t just make coding faster. They changed how we use time. For years, development was naturally sequential: You worked on one task. You finished it. Then you moved to the next. Now we can delegate work to AI agents. But here’s the question: Are you still waiting while the agent works? In this video, I share a workflow shift I recently realized: Instead of treating AI as a faster autocomplete tool, you can treat it as a parallel worker. And to make that practical, I demonstrate how Git worktree enables: • Multiple working directories • Delegating tasks to different agents in parallel • Using waiting time productively This is not a Git deep dive. It’s about redesigning your workflow for a world where delegation is possible. If you’re using AI agents but still working in a single-threaded way, this perspective might help you rethink how you structure your day. #aiagents #workflow #git #gitworkflow #worktree #backendengineering #10xfaster --- 🔗 You may also like • Are We Overusing AI? When Classic Software... --- 0:00 The workflow shift introduced by AI agents 0:27 The single-threaded trap 1:20 Designing workflows for parallel delegation 4:30 The enabling tool: Git worktree 6:26 Understanding Git worktrees 8:02 Branch vs worktree explained 9:45 Demo: parallel AI development in practice 12:28 Rethinking multitasking 14:05 Practical workflow tips 16:20 Lessons from observing high-leverage developers 17:15 Closing insight