What this interview will probe
Build and scale the backend systems that serve Cursor's AI code editor to over a million daily active users, including the indexing, retrieval, and request-serving paths that keep latency low under heavy load. You'll own high-throughput services where a few milliseconds of overhead is multiplied across millions of completions. A technical interview would probe distributed systems design, low-latency service architecture, and how you'd shard, cache, and scale a code-indexing pipeline under real production load.
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