LLM hallucinations in code, like inventing methods, are less harmful than errors not caught by compilers. Running code reveals issues immediately, allowing for quick fixes. Unlike prose, where critical review is needed to avoid sharing false information, code provides built-in fact-checking. Manual testing is key; never trust code without seeing it work. Users should improve skills in reviewing LLM-generated code. To reduce hallucinations, experiment with different models, use context effectively, and pick well-known libraries. Relying solely on LLMs without running the code indicates a lack of experience.
https://simonwillison.net/2025/Mar/2/hallucinations-in-code/