How to Build a CI Pipeline That Catches Common AI Code Issues

A CI pipeline designed for human-written code will catch some AI code problems and miss others. The ones it misses are not random. They follow a consistent pattern: issues that look fine visually but fail under specific conditions, dependency assumptions that only surface at runtime, and security gaps in input handling that well-formed test inputs do not expose. Building a CI pipeline that catches the specific failure modes of AI-generated code does not require replacing your existing pipeline.