Rippling Offer Received | AI Coding Experience Share

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rippling
· San Francisco
March 15, 2026 · 2 reads

Summary

I recently received an offer from Rippling after a unique interview experience where AI coding tools were permitted in both the phone screen and onsite rounds, leading to a smooth process and positive feedback.

Full Experience

I just got an offer from Rippling recently, not sure if I really want to go there since I've heard terrible things about the work culture there, but the offer is pretty good if they actually IPO one day. It was a pretty unique interview experience since the phone screen and onsite coding rounds both let me code with AI.

I thought it was pretty interesting how they let you use any AI you want, my interviewers told me I could use chatgpt, cursor, claude or any other tool I'm used to. You still need to run the code in the hackerrank but you can just copy and paste from your ide into it. I don't know if it's purely because of this, but the interview questions aren't your typical LC style problems, the algorithms aren't that hard and it's more like OOD.

I had a pretty good interview experience overall, the feedback came in super fast and all the interviewers were pretty friendly. I felt like the onsite went really smooth even though I wasn't fully sure how they evaluate the AI coding performance, but was glad to hear the good new from the recruiter.

Interview Questions (6)

1.

Design Log Storage System

System Design
2.

Online Stock Span

Data Structures & Algorithms
3.

Design Snake Game

System Design
4.

Card Game

Data Structures & Algorithms

This is one I got asked.

5.

Exam Room

Data Structures & Algorithms
6.

Design Ride Sharing System

System Design

Preparation Tips

Based on the experience and interview feedback I think what worked well for me was not feeding cursor the entire prompt, I tried to come up with the design of how I want to approach it, and let cursor write the code and some test cases for me. Then I asked cursor to suggest some optimizations, and if they seem like they're big wins, but not overly complicating a simple problem, then only to implement them.

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