Economist Shares AI Coding Agent Best Practices: Use Git Worktrees to Find the Right Autonomy Balance
aniketapanjwani · x · 2026-08-01
An economist shared common mistakes in using AI coding agents, noting that users often improperly scope tasks, especially by being too conservative and not allowing the tools to work autonomously on long-running tasks.
He argues that even with an imperfect 10-minute plan, if an agent runs for 5 hours and delivers 50% usable results, the ROI is excellent. To find the right balance of autonomy, he suggests:
- Ask tools like Claude Code to help evaluate how much work they can handle autonomously
- Use git worktrees to test different levels of freedom across parallel branches
- Push the tools to do more and have them generate a pedagogical HTML explanation to review the work done.
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