Code, Chaos, and Clarity: Neurosymbolic Approaches to Trustworthy Software Automation

As large code models become increasingly central to software development, concerns about their opacity, reliability, and resource-intensive nature are mounting. This article introduces neurosymbolic software engineering, an innovative paradigm that blends neural learning, symbolic reasoning, and controlled stochasticity.