← 💻 Coding & Engineering CraftNEXT IN CODING & ENGINEERING CRAFTImplementing ML From Scratch (NumPy Patterns)→
Core
Tries and String Algorithms
A trie is a prefix tree that stores strings by shared prefixes, giving O(length) lookup and natural prefix queries for autocomplete. The classic string-matching algorithms (KMP's failure function, Rabin-Karp's rolling hash) beat the naive O(nm) scan by never re-comparing characters they already know. Applied AI coding interviews probe these because they show up directly in tokenizer dictionaries, search indexes, and substring filters, and because candidates almost always reach for the brute-force scan first.
a free account unlocks the core curriculum tier · no card
RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
Coding & DSAImplement a trie for autocomplete: insert words and return all completions of a prefix.→Coding & DSARabin-Karp: substring search and multi-pattern matching with a rolling hash.→System Design for AI in ProductionDesign a typeahead / autocomplete suggestion system.→Coding & DSAKMP string matching: find a pattern in O(n+m) using the prefix-function failure links.→RAG & Agent System DesignDesign a production RAG system over 10M documents serving ~1,000 QPS at sub-second latency.→System Design for AI in ProductionDesign a large-scale recommendation feed (retrieval then ranking) for 100M users.→
COMPANIES THAT ASSUME THIS
