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This paper argues that the emergence of AI Agents is not about making programmers more efficient, but fundamentally changes the nature of the software paradigm — code transforms from static artifacts that permanently solidify decision logic into temporary tools dynamically generated by LLMs and discarded after use; the core of software engineering will shift towards designing reliable inference constraint boundaries.