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title: Coding interviews have become insane | daily.dev
description: A comedic breakdown of how coding interviews have evolved at frontier AI labs like OpenAI and Anthropic, contrasted with everyday hiring at non-tech companies....
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# Coding interviews have become insane

**[bigboxSWE](https://daily.dev/sources/bigboxswe)** · 6 min read · 67 upvotes · 10 comments

## Summary

A comedic breakdown of how coding interviews have evolved at frontier AI labs like OpenAI and Anthropic, contrasted with everyday hiring at non-tech companies. Reddit-sourced interview loops reveal grueling take-home projects (webhook delivery systems, web crawlers, in-memory databases), line-by-line code interrogation, and system design rounds testing LLM inference APIs and profiler internals, all done without AI assistance. Meanwhile companies like Nordstrom, Walmart, and Kellogg's have adopted LeetCode-style rounds too, and in-person interviews are rising due to AI cheating concerns. The conclusion: despite the AI hype, algorithmic and system design interviews remain the standard prep path. The piece ends with a sponsored segment promoting Cursor's cloud coding agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=H0KAi8AWsnM>

## Questions this post answers

### What is the interview process like for an infrastructure engineer role at Anthropic?

It involves an online assessment with two problems (implementing a least recently used cache in Python and a task management system with priorities, assignments, and dependencies, requiring thread safety and complexity analysis in 90 minutes), followed by rounds on building a web crawler from scratch, a system design round for an LLM inference API, and a round converting stack sampling profiler outputs into trace events similar to Flame Graph.

_Engineers mapping out interview prep for infra roles can follow ongoing hiring discussion on daily.dev._

### What does the OpenAI platform engineer interview process look like?

It spans four rounds: a 48-hour take-home to build a webhook delivery system, a line-by-line code review with a senior engineer, a system design round to design an in-memory database with basic SQL commands, and further evaluation on real engineering depth rather than AI-assisted answers. One candidate who completed all rounds was ultimately rejected for lack of experience.

_Candidates benchmarking what top AI labs expect can track interview trends like this on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@jepudev2** · 10 upvotes

> "The piece ends with a sponsored segment promoting Cursor's cloud coding agents." lmfao, they just write themselves

**@limbojunkie** · 8 upvotes

> "Coding interviews have become insane"
>
> ![GIF](https://static.klipy.com/ii/2fd1ee858360694ebc7272832a866c2b/a4/88/LLAJ0Lkl6eb5HnXSV.gif)

**@geekluffy** · 4 upvotes

> Job description: _Must be proficient with AI developer tools._
>
> Interview loop: _Prove you can implement a custom memory allocator in C from scratch with zero internet access._

**@hemna** · 1 upvotes

> When you have public github repositories available, there is zero reason to do code in interviews.

**@adarshks** · 1 upvotes

> In personal interviews are better.

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---

Tags: [#career](https://daily.dev/tags/career), [#interview](https://daily.dev/tags/interview)

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