# The 'Pain in the Ass' Math That Could Save Vibe Coding From Itself

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/the-pain-in-the-ass-math-that-could-save-vibe-coding-from-itself
> **Original Source**: [Wired AI](https://www.wired.com/story/software-verification-is-the-hot-new-answer-to-the-ai-safety-crisis/)
> **Author**: Paresh Dave (undefined)
> **Published Date**: Thursday, October 29, 2026
> **Category**: CULTURE
> **Tags**: AI, Wired AI, culture

## Executive Summary
A new startup called &Truth is joining the race to automate formal verification, a painstaking process that uses math to prove software works as intended



## Full Coverage
For decades, developers have envisioned using math to prove that their software is bug-free. This process is long and laborious, requiring engineers to write precise statements about the goals of their software and convert their code into formulas that can be validated. While companies already run sophisticated tests to identify as many flaws in their software as possible, they rarely shell out for formal verification, which can catch even more erratic behavior

Now, a wave of startups is betting that generative AI will make formal software verification both practical and essential. Among them is &Truth, which Sun joined in August and which publicly launched on Thursday. Sun's research demonstrated the technology's potential by using AI to verify part of the code that encrypts conversations in the messaging app Signal

"Bridges, buildings, they don't collapse, because people did math before constructing them," says Ilya Sergey, &Truth's chief science officer. "Why don't we do the same for code? The technology to mathematically reason was all there, just difficult to scale."

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