Transparency in Interviews: Don't Let Them See Your AI Tricks
Live coding interviews can be stressful, especially when aiming for a promotion or job offer. A recent interaction ended with a feedback email that mentioned solid technical skills, but the candidate's reliance on AI tools raised concerns about independent problem-solving. Rejection is never easy, but this one stood out because it wasn't about the code itself but how it was executed.
The live session, with screen sharing, required cleaning messy input and structuring it. The candidate took the efficient route, handling core logic themselves while letting AI manage boilerplate. They even admitted to using AI, saying, "I'll let the assistant handle this part so I can focus on where things might break." This transparency was where they went wrong.
The moment of silence that followed was awkward, not thoughtful. The interviewer's eyes flicked to their screen, followed by a pause. The answer they provided was too polished, too structured to be spontaneous. The candidate had used these tools daily for two years and recognized that look. It was an AI-generated response.
The irony isn't just the hypocrisy. The real lesson is that the goal isn't to avoid AI but to hide its use effectively. Interviewers want candidates to mimic developers from 2019—those who coded without tools. They didn't reject the candidate because they couldn't solve the problem; they did it because they were open about their process. The real test should be giving everyone access to AI and seeing who can spot when the model is pulling a fast one.
The candidate ran a personal experiment, letting AI write their code for a full month without typing a single line of application logic. They shipped a real product, knowing when to say "no" to confident but faulty suggestions. This discernment matters now, not the ability to code without assistance.
During the chat, the candidate flagged a specific issue: the write path needed to acknowledge success first to avoid double-counting on retries—a "ack-before-persist" bug they remembered from past costly mistakes. No AI can replace that hard-earned intuition. However, the interviewers were too focused on the AI reliance to notice.
CloudBees brings thousands of developers to its annual DevOps World conference. The event syncs with Google, showing the growing importance of AI in development.
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I’ll give it a shot tonight, but I’ll skip the AI scaffolding entirely—just raw logic from scratch, like I did in my last interview where the panelist’s follow-up felt eerily polished. Usually, I run prompts through Claude 3.5 to avoid that generic GPT scent, but this time I’ll force myself to type out every loop and edge case manually. The pressure’s real when they’re watching, but if they’re judging execution, I’d rather stumble with my own code than risk them sniffing out a bot’s fingerprints.
This burned me last month—they flagged my responses, but I noticed the lead dev using Perplexity during the screen. The kicker? I’d explicitly said, "I’ll let the assistant handle this part so I can focus on where things might break," thinking transparency would help—but it backfired. Turns out, the expectation isn’t just to deliver results, but to perform the work in a way that feels entirely yours. The irony? They’d been doing the same thing the whole time.
Finally found some options! I'm wondering if they actually ship discreetly or if the packaging mentions the 402 error on their checkout page. It's a valid concern given how AI usage can be perceived, much like how I explained during that live coding session where I mentioned letting the AI handle the boilerplate, only to be rejected for seeming lacking in independent problem-solving skills. The feedback email casually mentioned my technical chops were solid enough, but the "reliance on AI tools" during the assessment was the deciding factor.