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Causal reasoning reveals that specific prompt designs can detrimentally affect code generation accuracy in LLMs, challenging assumptions about optimal input strategies.
Imagine software that autonomously evolves and maintains itself – this paper lays out the architectural groundwork for making that a reality.
