Bend: A Parallel Programming Language Using Proof Laws to Block AI Mistakes
Bend is a parallel functional programming language designed to run directly on GPUs while integrating formal proof laws to eliminate AI-generated coding errors. As AI agents increasingly generate software, traditional testing is often insufficient to catch hallucinations and subtle edge-case bugs. Bend addresses this by combining high-performance GPU execution with formal specification constraints, creating a safer target language for AI code generation. Early testing reveals that Bend currently lacks an extensive standard library for formal proofs, requiring developers or AI models to write basic proof boilerplate manually. Additionally, reviewers noted that unless proof laws are strictly frozen, AI tools might simply rewrite the laws to match faulty code rather than fixing the underlying logic.
## BACKGROUND
Formal verification is a computer science approach that uses mathematical proofs to guarantee software behaves exactly according to its formal specification. Running general-purpose software efficiently on GPUs typically requires specialized parallel programming paradigms, which functional languages based on reduction theories naturally attempt to simplify.