LeetCode roadmap goes pattern-first
A widely shared LeetCode roadmap thread is pushing pattern mastery over volume — learn 2–3 representative problems per pattern (Sliding Window, Two Pointers, etc.) rather than grinding hundreds. (x.com)
NeetCode’s public roadmap already organizes LeetCode practice around named patterns—Sliding Window, Two Pointers, Binary Search and more—explicitly grouping topics as a study flow rather than a raw problem count. (neetcode.io) Open-source curations follow the same model: the leetcode-patterns repository by Sean Prashad categorizes questions by pattern and shows roughly 11.5K stars on GitHub, signalling broad community adoption of pattern-first indexing. (github.com) Canonical sliding-window problems frequently used in interview prep include LeetCode 3 (Longest Substring Without Repeating Characters), LeetCode 76 (Minimum Window Substring) and LeetCode 209 (Minimum Size Subarray Sum). (leetcode.com) Canonical two-pointers examples that appear in FAANG-style lists include LeetCode 167 (Two Sum II — Input Array Is Sorted) and LeetCode 11 (Container With Most Water). (leetcode.com) Community baselines used for company prep compress those patterns into compact lists: the Blind 75 and NeetCode problem sets remain popular starter baselines and are hosted as public practice collections on NeetCode/LeetCode. (neetcode.io) Recruiting guidance from major employers and well‑regarded prep vendors continues to prioritise structured problem‑solving and system design over raw solve counts: Google‑focused interview guides highlight data‑structures/algorithms and structured thinking, while Amazon’s official interview guide lists live coding, system design and behavioral interviews as core stages. (educative.io) The thread’s practical implication is reproducible: public pattern repos like Sean Prashad’s can be ported into a portfolio "pattern‑drill" web app (pattern tags, problem links, progress tracking) built with Next.js for the frontend and PostgreSQL for persistence to demonstrate both DSA fluency and full‑stack engineering. (github.com) Pattern-first pedagogy is already being productized: Educative’s roadmap/Grokking-style modules and recent three‑phase pattern plans from coaching platforms such as LockedIn AI explicitly recommend practicing clustered problem sets by pattern rather than raw volume. (educative.io)
