Interview Coder is an invisible AI for technical interviews
Role of Interview Coder & AI Tools in Interviews
- Many see Interview Coder as a straightforward cheating/fraud aid: an invisible assistant to pass technical screens.
- Others frame it as a defense against a “broken” interview system (LeetCode-style questions, performative coding) that doesn’t reflect real work.
- Some argue that if AI can do the work required in the interview, then maybe that’s the “correct” outcome for those roles.
LeetCode, FizzBuzz, and Algorithmic Tests
- Strong backlash against LeetCode/DSA interviews: viewed as cargo-culted from FAANG, orthogonal to real work, wasteful, and increasingly obsolete in the AI era.
- Minority defends basic coding screens (e.g., FizzBuzz, “easy” LeetCode) as necessary sanity checks, noting many applicants can’t code at all.
- Others say even simple problems can be easily solved with AI now, undermining their value.
Ethics: Cheating vs Broken System
- One camp: using tools like this is moral/actual fraud; you either play the game honestly or walk away.
- Another camp: the hiring “game” is rigged and often deceptive itself; cheating is seen as survival, especially in harsh job markets.
- Debate over “two wrongs”: whether employer misrepresentation justifies candidate dishonesty.
- Some insist honesty is core to engineering; others emphasize material survival over abstract ethics.
Adaptations: In-Person & Real-Work Interviews
- Many predict/advocate a return to on-site, supervised interviews and bounties/pair-programming as AI-resistant filters.
- Approaches praised in the thread:
- Pair programming on real or realistic codebases with full access to Google/docs/AI, while observing reasoning.
- System design or “talk shop” conversations with occasional deep dives.
- PR/code review exercises and “open-book” tasks tuned to where current LLMs still struggle.
- Concerns that on-site-only interviewing increases hiring cost, skews towards big/well-funded companies, and excludes people with less free time or flexibility.
Arms Race & Detection
- Interviewers report already seeing AI-assisted cheating and even impersonation (different person at interview vs on the job).
- Some claim they can often spot AI use via pacing, eye movement, unnatural answer patterns.
- General sense that AI is accelerating an arms race between candidates gaming tests and companies trying to “cheat-proof” hiring.