The critical skill in managing AI agents is knowing when to stop working on a task to verify its correctness before moving forward. This practice prevents building on potentially flawed foundations, which can lead to costly errors later. Developers must also limit the number of concurrent tasks they oversee to maintain focus and quality, as excessive context switching degrades productivity and oversight effectiveness.
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