data structures
AI infra interview questions tagged data structures, across every topic.
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Concepts behind "data structures"
The curriculum that explains the ideas these questions test.
Foundational
The Practical Coding Screen PlaybookThe AI infrastructure coding screen is 45 to 60 minutes of building a small, realistic piece of systems code (a scheduler, a rate limiter, a batcher, a log parser, a cache) in the language you choose, with an interviewer who extends the problem twice and watches how you handle it. It is not a puzzle round: the score comes from working code early, tests that name the invariants, complexity said out loud, and calm follow-ups. Some companies allow an AI assistant and some ban it, and each policy changes what is measured. This page gives the minute-by-minute plan, the habits that score, and the mistakes that end the screen.💻 Coding for Infra
Foundational
Cache-Friendly Data StructuresA cache line is 64 bytes and it is the unit of coherence, so where data sits decides how fast code runs more often than which algorithm it uses. Two consequences dominate infrastructure code: a lookup that chases a pointer pays two dependent memory stalls instead of one, and two threads updating adjacent variables contend for a line they do not logically share. Both are layout problems with layout fixes.💻 Coding for Infra