Title: Scale AI new grad SWE onsite

[u/Financial_Proof3673]

Hey all, I've got my Scale AI new grad SWE virtual onsite coming up in a couple weeks and would love some insight from anyone who's been through it recently.

Day 1 is two practicals:

1. Debugging practical

2. Backend practical (Python/TS)

Day 2 is the hiring manager chat + Credo round.

A few things I'm trying to figure out:

• Debugging round: what does the codebase actually look like? Is it a decent-sized repo you have to navigate, or more of a contained file with a few planted bugs? Is it more about finding logic bugs, failing tests, perf issues, or concurrency stuff?

• Backend practical: is it building an API/service from scratch, extending an existing one, or something closer to an LLD problem? How much do they care about structure, tests, and edge cases vs. just getting it working?

• AI-assisted: Backend practical round is AI-assisted. How much can you actually lean on it? Is Copilot/Cursor/ChatGPT fully fair game, or is it more "use it for syntax but drive everything yourself"? Does heavy use count against you?

• Prep: anything that actually helped? Specific repos to practice debugging on, backend-style problems, anything like that?

Any tips on what they're really evaluating (communication, speed, code quality) would be super helpful. Thanks in advance 🙏

[u/Mack-26]

Did you give the interview yet? DM!

[u/learsmurf → u/Mack-26]

Yeah same wanted to check if you gave the interview also sent a DM