We are all using Copilot, Cursor, or ChatGPT to write code faster. They save time, tackle boilerplate, and help us think through complex logic. But there is a massive blind spot that the industry isn't talking about enough: AI coding assistants generate the exact same class of security bugs, over and over again, with total confidence.
Traditional linters like ESLint are fantastic, but they were designed for human-written code. They catch unused variables and missing semicolons. They aren't built to catch the subtle, plausible-looking security holes that LLMs naturally default to.
That is why I built hallint. It is a free, open-source static analysis tool specifically tuned to catch the failure modes of AI code generation before they reach your production environment.
The Problem AI Creates (That ESLint Misses)
AI assistants fail differently than humans do. When you ask an LLM to generate an Express route or a database query, it tends to take the path of least resistance. It writes code that passes casual review, runs perfectly in local development, and creates devastating vulnerabilities once deployed.
