Dynamic Programming
Dynamic programming is the lighter band on this loop, not its center of gravity. Instacart is widely reported to steer away from academic or obscure algorithms, so you will not spend a round recalling a niche recurrence trick. Where DP reliably does appear is the medium-hard task that tops the CodeSignal assessment: the Level-4 optimization that combines a table with a greedy constraint. It also shows up more quietly, in the counting and sequence-matching work that hides inside the practical parsing rounds. Think of it as breadth you cannot skip rather than a signature you drill for weeks.
When a DP problem does land, it arrives framed as a grocery or logistics task, which is exactly how Instacart frames most of its coding work. A scanned numeric label that could decode several ways. A misspelled search that has to be matched against a catalog term. A shopper's insulated bag with a weight ceiling and more candidate items than will fit. Underneath each is a canonical medium, and the whole task is finding the recurrence and writing it so it runs. The problems sit at medium difficulty, the code executes against hidden tests, and the staged follow-up that defines Instacart's rounds reaches DP too.
- 3 problems, worked step by step
- about 22 min
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30 coding · 5 system design · 14 behavioral questions
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