# awangdev/leet-code

Java Solutions to problems on LintCode/LeetCode

Repository: https://github.com/awangdev/leet-code
Canonical: https://ross.abutalabs.com/products/leet-code
Language: Java
License Family: other
Topics: java, lintcode, leetcode, algorithm, java-solution, dynamicprogramming
Last push: 2025-12-07T21:55:43+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 56, release rhythm 35, longevity 100
- inputs: {"age_days": 4148, "days_push": 269, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4330, forks 30 (observed 2026-08-28T04:08:45.945439+00:00)

## What it is
A curated collection of Java solutions to LeetCode and LintCode algorithm problems, maintained for over seven years with per-problem notes on time/space complexity and tags. It also includes summary pages covering knowledge points and system design notes.

## Use cases
- prepare for coding interviews with Java solutions
- study dynamic programming problem patterns
- review algorithm topics like binary search and DFS
- find reference implementations for LeetCode problems
- learn system design fundamentals
- look up complexity analysis for classic problems

## When to choose
- you are practicing LeetCode/LintCode problems in Java
- you want annotated solutions with complexity and tag breakdowns
- you need consolidated review notes and system design summaries

## When to avoid
- you need solutions in languages other than Java
- you want a runnable library or testing framework rather than reference code
- you need guaranteed maintenance or official licensing

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: jvm
- tags: leetcode, lintcode, interview-prep, data-structures, dynamic-programming, study-notes, java-solutions, algorithms

## Member repositories
- awangdev/leet-code (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:45.945439+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:40.826488+00:00, confidence not recorded.
  - readme: https://github.com/awangdev/leet-code (fetched 2026-08-28T04:08:45.945439+00:00, sha e8fc4a6bea6d)
- Data as of 2026-08-30T08:39:29.467469+00:00.