The integration of Large Language Models with formal theorem provers is emerging as a powerful approach to automate software verification and generate mathematically correct code. Proponents argue this synergy will make dependent-type systems highly practical and shift the core programming skill toward writing formal specifications. However, experts caution that while LLMs simplify proof engineering, human insight remains essential for defining correct abstractions and managing complex production edge cases.