Know how AI-generated code usually breaks before you rely on it in an interview

If AI is allowed, the interviewer is watching whether you catch its mistakes. The common ones are off-by-one errors in loops and slicing, claiming O(n) when there's a hidden O(n) inside the loop, inventing library functions that don't exist, and quietly skipping edge cases like empty input or duplicates. Before the interview, have an AI solve 10 problems you already know well and look for bugs. You'll learn its habits quickly.