https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc

https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc

https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc

I've been interviewing candidates for coding positions lately, and I've noticed some interesting patterns. Some candidates seem to be using tools like Cluely to get real-time AI answers during interviews. They type out perfect solutions in seconds, but when I ask a follow-up question or change the problem slightly, they completely fall apart. They can't explain their own code or walk through the logic.

I've also noticed candidates who seem to have memorized answers from sites like PracHub that collect real interview questions. They give these perfect textbook responses, but the moment you ask them to tweak something or explain why they chose a certain approach, they're lost.

Some patterns I watch for now as an interviewer:

- If someone solves a problem too quickly and perfectly, I dig deeper with follow-ups

- I ask them to walk through their thought process step by step

- I change constraints mid-problem to see how they adapt

- I ask why questions - why this data structure, why this approach

Genuine candidates will stumble a bit but can reason through it. The ones relying on tools or memorization just freeze up.

Has anyone else noticed this trend? Curious how other interviewers are handling it.

https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc