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The author argues that written specifications and clear articulation of intent should be the primary source of truth in AI-driven development, rather than code itself. They contend that most AI problems stem from poor communication and articulation of requirements, not AI's execution capabilities, and that iterating on written intent before implementation leads to better outcomes than treating code as the authoritative artifact.
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