// the find
StephenGrider/AlgoCasts
This is the exercise repo for Stephen Grider's Udemy course on coding interview algorithms and data structures. It's a flat collection of classic interview problems (anagrams, BST, linked lists, palindrome, weave, etc.), each with a blank starter version under exercises/ and a solved version under completed_exercises/. It's for people working through that specific course, not a general algorithms reference.
Each problem is isolated in its own folder with a paired test.js, so you can run one exercise at a time without pulling in the rest of the repo. The starter/solution split (exercises vs completed_exercises) is a clean way to structure course material — you write the implementation, then diff against the answer. Coverage is broad for interview prep: trees, linked lists, stacks/queues, string manipulation, sorting.
The README is a single line pointing at the Udemy course — no setup instructions, no indication of what test runner to use, no license note beyond the file's existence. There's no root package.json, only one inside exercises/ and completed_exercises/, so it's unclear if the whole repo installs as one unit. This is course scaffolding, not a library: the code has had no meaningful commits since course release, there's no CI, and the value evaporates entirely if you're not enrolled in the specific Udemy course it supports.