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    "headline": "AI Agents Remove Human Refactoring Trigger, Risking Code Decay",
    "dek": "Daily AI agent use removes the human 'getting lost' signal that historically triggered necessary code refactoring.",
    "prose": "AI agents do not get lost in complex code because they are not bound by human context limits, meaning the signal to refactor never fires automatically. [^1]\n\nHistorically, software modularity and encapsulation were concessions to the limited size of human working memory, allowing developers to reason about systems in isolation. [^2]\n\nThe author states that the 'refactoring reflex' was historically triggered by the moment a human developer got lost in the code and could no longer follow the branches. [^3]\n\nThe author warns that the failure mode is not bad code from agents, but humans losing the ability to police the code because they no longer understand it themselves. [^4]\n\nThe author asserts that the significant change is that developers can now delegate parts of the engineering loop. [^5]\n\nThe author states that the biggest shift in software engineering is not that AI can write more code. [^6]\n\nThe article indicates that AI coding agents are changing the landscape of software engineering. [^7]",
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      "statement": "AI agents do not get lost in complex code because they are not bound by human context limits, meaning the signal to refactor never fires automatically.",
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