Why AI Interview Is Suck?
I believe this is a question on everyone’s mind. The Codex team even asked it at the very start of the product: “Why not use AI interview tools?” This article explains what Codex Interview is and why we decided to build it.
I believe this is a question on everyone’s mind. The Codex team even asked it at the very start of the product: “Why not use AI interview tools?” This article explains what Codex Interview is and why we decided to build it.
At the end of 2024, while preparing for a job switch, I came across an AI interview tool called Offerin. After several rounds of mock interview testing, I found the user experience extremely poor for three key reasons:
Points 1 and 2 have seen new solutions emerge, such as the rapid rise of Interview Coder. Their marketing and technical implementation are undeniably impressive. But have these core issues truly been solved?
As those who’ve collaborated with me on research know, I’ve served as a NeurIPS reviewer in both 2024 and 2025, and have a deep understanding of AI systems. Most AI interview tools follow a three-step pipeline:
But the real problem lies in step 1: voice input and recognition. In a 40–60 minute technical interview, how does the AI distinguish between the interviewer and the candidate? Can Retrieval-Augmented Generation (RAG) really solve that? Long-form understanding is still an unsolved challenge in leading conferences. Even in everyday GPT usage, we frequently encounter hallucinations and irrelevant responses — classic symptoms of factuality failure.
This is why AI interview assistants often fail to address real user pain points — and worse, they may provide misleading information that harms the candidate’s performance.
Setup two CoderPads: one on your end with the interviewer, and another from me, where I provide real-time solutions and behavioral insights drawn from my past interview experience. While this approach may seem clunky, it remains the most effective method in today’s AI era. However, it still doesn’t eliminate unnatural eye movement — a critical red flag in live interviews. This is exactly where Bigocodes' Codex Interview comes in. Designed to eliminate hallucinated AI answers and suspicious user behaviors, Codex Interview tackles the pain points that no AI tool has yet solved — with precision, reliability, and trust.
Codex Interview is a collaborative remote code editor designed specifically for technical interviews. What sets it apart is its desktop app with an overlay panel that displays assistance discreetly on your screen. By sharing a Markdown editor with your friends, classmates, or colleagues, they can remotely support you with algorithm strategies and help you navigate tricky behavioral questions—the ones AI often fails to understand.