I’m a former interviewer for a FAANG competitor that had a successful IPO. I had to do over 1,000 interviews in 5 years. The VP of Eng told me I was “highly accurate.” We used leetcode-like programming questions.
I don’t think the FAANG-style coding puzzles have anything new to add to the conversation here. The reason big companies do that is because the questions are prompts are simple to write explain (hence interviewer has to do very very little), the answer space is generally well-defined (so it’s easy to grade, and easy for a Hiring Manager to check if the interviewer screws up), and they almost exclusively select for completion time (which is key in a high-pressure feature house company).
Most of the discussion here seems to be interested in alternatives. Through my experience, I can’t agree enough with the article author who posts:
Not a single person out of several thousand emails and messages came out in defense of the current state of interviewing processes - I’ll let this one stand on its own.
The only people I’ve seen to defend the current process in public are ex-FAANG people who were actively monetizing their experience (e.g. Gayle Laakmann).