Code Hallucination

Code Hallucination is a class of errors exhibited by large language models during code generation tasks, in which the model produces code that appears syntactically valid and logically plausible but contains functional errors, calls non-existent APIs, or references fabricated libraries or methods. This phenomenon stems from the statistical text-generation nature of large models, which lack genuine understanding of actual code execution semantics, and represents a major reliability challenge in AI-assisted programming.