When using AI agents for multi-file code refactoring, success improves significantly when you document known errors and code behavior in files like agents.md before prompting. Rather than asking for a complete module rewrite in one shot, breaking the task into three or four incremental prompts yields better results for complex migrations. Planning is a key factor in keeping agents on track, and better planning tools are actively being developed to help agents map out steps before executing large cross-file refactors.

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