VibeSec-Skill

VibeSec-Skill Stop vibe coding vulnerabilities into production. An AI skill that brings 5+ years of bug bounty hunting experience directly into your AI coding workflow - so LLM models write secure code from the start. Introduction Vibe coding is fun until your app ends up on social media for all...

What Is the Difference between Me and You? Benchmarking the Quality Gap between Human-Written and AI-Generated Code

AI coding assistants are becoming co-authors of production software, yet their evaluation centers on functional correctness, leaving open whether their code differs from human code in the quality dimensions dominating lifecycle cost. We compare human-written and AI-generated code at scale: 787,56...

Unsaid, Unsafe? Implicit Security Obligations in LLM-Based RTL Code Generation

Large Language Models LLMs generate register-transfer-level RTL code with rapidly improving functional correctness. Security of LLM-generated code, however, has been studied mainly for software, where flaws can still be patched after deployment. Insecure RTL offers no such remedy once taped out...

Security Tests As Executable Specifications for LLM Code Generation: Benefits, Trade-Offs, and Coverage Limits

Large language models LLMs can generate functionally useful code that remains vulnerable, while security-focused interventions may break intended behavior. We investigate security tests as executable specifications both before generation and during iterative repair. We develop SecTDD, a controlle...