Xint Code is a new tool for code analysis that emerged from the AI Cyber Challenge in August. It successfully identified critical remote code execution (RCE) vulnerabilities in major database systems like Redis, PostgreSQL, and MariaDB, outperforming human teams at the competition. These vulnerabilities are now undergoing responsible disclosure with the respective maintainers, highlighting Xint Code's effectiveness in finding significant security flaws without human intervention. The tool analyzes various types of code, configuration files, and binaries without requiring any specific setup. Users receive clear reports detailing vulnerabilities, including their impact and severity. Compared to traditional static analysis tools, Xint Code produces fewer false positives while uncovering more genuine issues, including some that have eluded human detection for years. The ease of use is evident; users can simply upload a project’s entire Git repository for analysis. Xint Code automates the bug-finding workflow by leveraging years of security expertise and advancements in AI. It autonomously maps project structures, examines code in context, and identifies vulnerabilities with real security implications. This approach allows it to uncover flaws in large and complex codebases that standard tools often miss. Looking ahead, Xint Code aims to analyze more open-source projects, supported by prize money from the ZeroDay Cloud competition. The developers are seeking partnerships with organizations willing to integrate Xint Code into their security processes for real-world applications.