Job Interview Insights

(updated on 11.09.2026) You’ve spent months grinding LeetCode, memorizing trade-offs, and polishing your system design stories. Then you read that Google is piloting a coding round where you’re allowed to use Gemini, and your first thought is probably: “Wait, so what exactly are they testing now?” Good question, right? Here’s the short version. According to […]

(updated on 11.05.2026) Your recruiter sends the schedule for your Amazon loop, and there it is, between the coding round and the Bar Raiser: “GenAI Fluency.” No description. No prep link. Just two words and a calendar slot. If you felt your stomach flip a little, you’re in good company. This round is new enough

(updated on 10.22.2026) You’ve nailed the coding round. Your system design went well. Your behavioral stories landed. Then, near the end of the final round, the hiring manager asks what sounds like small talk: “So, how do you use AI at work?” You give a quick, honest answer, the call wraps up nicely, and a

(updated on 10.19.2026) You’re cruising through a behavioral round. You’ve told your conflict story, your missed-deadline story, your proudest-project story. Then the interviewer leans in and asks something you didn’t prep for: “Tell me about a time you caught AI being wrong.” Wait, what? Fear not. You’re not the only one getting this curveball. Now

(updated on 10.15.2026) You open the interview link expecting a blank editor and a classic array problem. Instead, the interviewer shares a repo. Twelve files. A failing test. A short note: “Users say the checkout total is sometimes wrong. Can you find out why and fix it?” Your stomach drops a little. Where do you