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A new study finds that when LLMs edit code, the priority should be making changes that are minimal and reviewable, rather than just ensuring the code is correct. This focus on human oversight and practical implementation highlights a critical challenge in deploying AI for technical tasks. For professionals in the field, this underscores the growing need for AI systems that enhance developer workflows without sacrificing transparency or control. The research suggests that the most valuable AI assistance will be the one that engineers can easily understand and integrate.