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AI Just Broke the Technical Interview — and Ras Mic Proved It!

I just watched someone cheat a LeetCode hard problem in 30 seconds. Completely invisible. Absolutely undetectable.

We sponsored this video with Micky (@rasmickyy on X) because every company needs to see what's happening.

The CEO of InterviewCoder demonstrated it live:
→ Screenshot the problem
→ AI generates the solution instantly
→ Type it out while "thinking out loud"
→ Screen share shows nothing

Zero chance of detection.

Here's the truth: Traditional interview processes are struggling. AI just made it exponentially harder.

Companies have two options:

  1. Spend months redesigning your interview process, burning time and cash trying to stay ahead of AI cheating tools.

  2. Work with someone who's already adapting to this reality.

At G2i, we conduct custom technical interviews tailored to what you actually need. We record everything. You see how engineers think, code, and communicate on real problems.

No guessing. No gambling.

After placing 5,000+ engineers, I can tell you: The interview process you used last year won't work this year.


AI Has Changed the Hiring Game Forever

The explosion of AI tools has blurred the line between a candidate’s true ability and what their tools can do for them. A quick prompt can now solve problems that used to take hours — and that makes traditional coding interviews nearly obsolete.

In Micky’s demo, you see it firsthand: AI can produce working code that looks human-written while the candidate mimics the process. It’s not about effort anymore; it’s about access.

For hiring managers, that’s terrifying. How do you assess skill when the test itself can be automated?


Why This Matters for Engineering Leaders

If your hiring process hasn’t changed since 2022, you’re flying blind. Most technical screens rely on the same platforms and question sets — exactly what AI models are trained on.

That means:

  • Strong candidates still pass, but so do people who can’t perform without AI.

  • Your team spends hours interviewing the wrong engineers.

  • You waste budget onboarding devs who can’t deliver.

It’s not about catching “cheaters.” It’s about evolving your process to measure what still matters — problem-solving, communication, and adaptability.


What G2i Is Doing About It

We’ve re-engineered our vetting process to reflect how engineering work happens today.

  • Human-led assessments: Every interview is run by senior engineers.

  • Real-world tasks: Candidates solve project-based challenges that reflect actual job work, not textbook problems.

  • AI-aware evaluation: We allow for modern tools where appropriate and test for judgment, not memorization.

  • Full transparency: All interviews are recorded so you can see exactly how an engineer thinks and works.

Our mission is simple: help engineering leaders hire confidently in a world where AI is part of the equation.


What You Can Do Now

  1. Watch the video — it’s a wake-up call.

  2. Audit your current process. Ask yourself: Would this catch someone using AI?

  3. Talk to us. We’ve already built systems to handle this new reality.

If you’re hiring engineers in 2025, this isn’t a “future problem.” It’s happening right now — and ignoring it costs more than adapting.


Watch the full video here: How AI is breaking technical interviews

https://www.youtube.com/watch?v=eOks218XGkc&t=51s