Vericoding: The End of "Trust Me Bro, The AI Wrote It"
The article discusses the growing concerns around AI-generated code, highlighting a significant drop in trust among developers. While AI tools are widely used, they are associated with increased security vulnerabilities and technical debt. The introduction of vericoding aims to address these issues by ensuring code is mathematically proven correct rather than just tested for bugs.
- ▪92% of developers use AI coding tools daily, but trust in AI-generated code has fallen from 77% to 60%.
- ▪AI co-authored code has 2.74 times more security vulnerabilities than human-written code, with 45% failing security tests.
- ▪The term vericoding refers to generating formally verified code from formal specifications, which is mathematically proven correct.
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By Wyatt Benno — Apr 7, 2026 Vericoding: The End of "Trust Me Bro, The AI Wrote It". 92% of developers use AI coding tools daily. Trust in AI-generated code has dropped from 77% to 60%. The gap between those two numbers is where the next billion-dollar problem lives. Vibe coding won. That debate is over. GitHub says 46% of all new code is AI-generated. Among Y Combinator's Winter 2025 cohort, 21% of startups have codebases that are 91% or more AI-generated. Gartner forecasts 60% of all new software code will be AI-generated by end of 2026. The machines are writing the code. Congratulations.Now the bad news.AI co-authored code has 2.74x more security vulnerabilities than human-written code. 45% of it fails security tests. Vibe-coded projects accumulate technical debt 3x faster.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at ICME Labs Blog.
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