A position paper argues that combining neural networks, symbolic rules, and controlled chaos can make AI-driven software engineering more efficient, transparent, and adaptable, but offers no validation.
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A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm
A position paper argues that combining neural networks, symbolic rules, and controlled chaos can make AI-driven software engineering more efficient, transparent, and adaptable, but offers no validation.