Xint Code Demonstrates Human-like Discovery and Prioritization of Business Logic Vulnerabilities, Analyzing Millions of Code Lines in Just Hours

Unlike traditional SAST, code scanners or pen testers, Xint Code uses multi-LLM reasoning and orchestration for human-like contextual understanding, identification and prioritization of hidden ...
IEEE

Large Language Model Based Code Completion is an Effective Genetic Improvement Mutation

Abstract: In this work, we introduce a novel large language model (LLM)-based masking mutation operator for Genetic Improvement (GI), which leverages code completion capabilities of large language ...