Gain trust from AI generated code again with semantics constract (bfzhao.substack.com)

A new approach called Semantic Contracts has been proposed to address the trust issues arising from AI-generated code, often referred to as “Vibe Coding.” As AI now writes code faster than humans can review it, significant vulnerabilities have emerged, including untraceable bugs and unpredictable fixes. Semantic Contracts act as structured blueprints that ensure correctness by imposing strict type checks at compile-time. This guarantees that any code—whether generated by an AI or written by a human—meets predefined business requirements, thus restoring trust in the software development process. The implementation of Semantic Contracts involves defining clear input and output states, along with building blocks like sequences and parallel executions that ensure logical consistency. These contracts can transform the entire software design process by treating business logic as a type system, reducing reliance on extensive manual testing while automatically handling potential edge cases. By bridging the gap between human requirements and code, Semantic Contracts not only streamline development but also mitigate the risks associated with AI-driven coding, making them a significant development for the AI/ML community.