Video Summary
Coding interviews have grown much tougher, shifting from simple algorithm puzzles to multi‑round, implementation‑heavy loops.
OpenAI interviews described: a four‑round process starting with a 48‑hour webhook take‑home and rigorous line‑by‑line code review.
Anthropic’s loop includes a 90‑minute online assessment (LRU cache, task manager), a hand‑built web crawler, system design and profiling tasks.
Despite AI advances, companies still emphasize algorithms, system design, error handling, thread safety, and complexity analysis.
Non‑tech firms are adopting traditional tech interview formats, increasing demand for LeetCode and system design skills.
According to the Reddit account, OpenAI’s platform role had four rounds starting with a 48‑hour take‑home to build a webhook delivery system, followed by line‑by‑line code review by senior engineers and a tough system‑design round (in‑memory database with SQL-like commands). Using AI in AI‑focused interviews is also a‑
Anthropic’s loop began with a 90‑minute online assessment (implement an LRU cache and a task management system), then a hand‑built web crawler implementation, a system design round to serve an LLM, and a coding task to convert profiler outputs into trace events—requiring thread safety, error handling, and complexity分析.
Surprisingly, the examples reviewed didn’t rely on AI; interviews still emphasize traditional algorithmic and software engineering skills—implementation detail, thread safety, error handling, and system design remain central.
The video notes that non‑tech companies like Nordstrom, Walmart, and Target are adopting LeetCode‑style and system‑design interviews, making these expectations more widespread across industries.
"The state of software engineering is like the writing direction of JoJo. You have no idea where it's going."
The author reflects on how coding interviews have evolved dramatically in recent years, moving from simpler questions to increasingly complex scenarios, leaving many candidates confused about the process.
Companies are rejecting candidates for a variety of reasons, including not utilizing the latest technical trends or tools, which highlights a disconnect between traditional coding practices and current expectations.
The emphasis has shifted toward more intense coding challenges, even for basic roles, complicating the landscape for aspiring developers.
"The first interview I want to take a look at is for a platform engineer role at OpenAI."
A detailed account of the interview process at OpenAI reveals a rigorous four-round assessment that starts with a challenging take-home assignment, requiring candidates to build a webhook delivery system in less than 48 hours.
Candidates face intense scrutiny, as senior engineers conduct in-depth reviews of their code, with repercussions for those who leverage AI tools inappropriately during AI-focused interviews.
The trading of scripts and frameworks for in-depth algorithm and design knowledge, as seen in interviews at Anthropic, places a high demand on candidates' technical skills, including thread safety, error handling, and complexity analysis.
"It seems to be business as usual for FAANG, SAS companies, and startups: LeetCode and system design."
Interestingly, even non-tech companies like Nordstrom, Walmart, and Target are adopting coding interview processes that traditionally belonged to tech firms, indicating a broader trend.
The use of standardized coding challenges like LeetCode is increasingly common, while companies demand deeper knowledge in system design, which reflects a significant shift in hiring practices.
Interviewers are still leaning heavily on traditional coding challenges, despite advancements in AI and technology, as candidates find themselves battling through rounds of algorithm-style questions without substantial changes in the interview format.
