Beyond Strings: Engineering LLMs for Type-Safe Program Synthesis

Traditional LLMs generate code as a simple sequence of tokens, often ignoring the rigorous structural requirements of formal type systems. Bridging this gap is crucial for creating AI that can autonomously produce provably correct software without relying on wasteful trial-and-error loops.