AI Interview Prep for Engineers: How Candidates Actually Cheat
A senior backend candidate I interviewed in March 2026 for a 40-person scaleup submitted a 4-hour take-home that was obviously AI-generated within 30 seconds of reading it. Not because the code was bad — the code was too good: consistent style across 14 files, docstrings on every function, and a suspiciously well-structured README covering edge cases the problem didn't require. What actually gave it away: a variable named is_applicable_within_business_context — the exact phrasing Claude 3.7 Sonnet uses when asked to write "enterprise-grade" code.
We hired someone else. Two months later, the same candidate's LinkedIn showed a new job at a competitor who didn't check. I don't know whether they passed the on-the-job bar; the industry tells stories both ways. What's certain: AI-assisted cheating is now the default, not the outlier, and hiring funnels designed pre-2024 select for the wrong thing. A 2024 Stack Overflow developer survey found 76% of professional engineers actively use AI coding tools; candidate tooling lags developer tooling by weeks, not years.
