LLM-powered developer tools work in demos. They summarize a file, answer a question about a class, explain a function. Then they hit a real codebase — large, cross-repository, underdocumented — and the answers become wrong in ways that are hard to detect. This article explains why that happens and what a system that avoids it looks like.
Why LLM-powered tools fail in production



