The ‘Pain in the Ass’ Math That Could Save Vibe Coding From Itself
wired ·
A new wave of startups, including &Truth and Harmonic, is leveraging generative AI to automate formal verification, a rigorous mathematical process used to prove software correctness. This approach aims to make the traditionally labor-intensive method practical for broader use, potentially saving significant time and costs compared to manual engineering efforts. While companies like Apple and Amazon already employ formal verification for critical security components, widespread adoption remains limited by high costs, resource constraints, and concerns over slowing innovation. Critics argue that formal verification is not a panacea and may create unjustified trust, noting that robust testing is still necessary to catch user error and hardware issues. Despite skepticism from some industry experts who view the process as difficult and incomplete, proponents believe it is essential for securing AI systems against cyberattacks. The technology is currently in a prototyping stage, with developers experimenting with AI-assisted tools to define program behaviors and verify code using mathematical engines. As demand grows, the industry faces questions regarding pricing models, customer preferences, and sustainable funding for open-source verification efforts.
wired