Bend Language Blocks AI Mistakes with Proofs, Offers C Speed and CUDA Parallelism

Introducing Bend Language

Bend is a new programming language that aims to prevent errors in AI-generated code by integrating formal proofs. It combines C-level execution speed with CUDA parallelism, and features a Python-like syntax. The language is designed for a future where AI agents write code, providing a mechanism to ensure their output adheres to specified rules.

Proof-Based Verification

A core feature of Bend is its proof system. Developers can define 'laws' in a `LAWS.bend` file, which are formal specifications that AI-generated code must satisfy. Before committing any code, an AI agent must generate a `PROOF.bend` file demonstrating that the code adheres to these laws. This process makes it mathematically impossible to merge code that violates defined rules.

Performance and Parallelism

Bend compiles to native code, achieving performance comparable to C on a single core. The same binary can also run on multiple CPU cores or GPUs, offering up to a hundredfold speed increase. It handles parallelism automatically, distributing tasks across available cores without requiring manual thread, lock, or kernel management from the developer.

Fast Proof Checking

Unlike other proof checkers that can take minutes for mid-sized codebases, Bend's type checker, which doubles as a proof checker, completes its checks in a second at most. This speed allows AI agents to verify code after every change, integrating proof-based correctness into the development workflow efficiently.

Practical Application

An example provided illustrates how Bend prevents bugs. In a game development scenario, if an AI is asked to modify game board behavior, `LAWS.bend` can enforce rules like 'no move sequence leads to victory'. If the AI's initial attempt introduces a bug, the proof system will reject it, forcing the AI to retry until it produces code that satisfies the law.