explaingit

halfrost/leetcode-go

★ 33,794GoAudience · developerComplexity · 2/5StaleLicenseSetup · easy

TLDR

A complete collection of LeetCode problem solutions written in Go, with 100% test coverage and an offline-readable companion book explaining the reasoning behind each approach.

Mindmap

mindmap
  root((repo))
    What it does
      LeetCode solutions
      Go implementations
      Interview prep
    Content
      Data structures
      Algorithm types
      Optimized code
    Learning
      Offline cookbook
      Theory explained
      Best practices
    Quality
      Full test coverage
      Performance verified
      Style guidelines

Things people build with this

USE CASE 1

Prepare for technical interviews by studying optimized Go solutions to common coding problems.

USE CASE 2

Learn Go programming by working through real LeetCode problems with well-structured, tested code.

USE CASE 3

Reference highly optimized algorithm implementations that beat 100% of runtime benchmarks on the platform.

USE CASE 4

Study algorithm and data structure theory offline using the companion Progressive Web App cookbook.

Tech stack

GoGo testingGitHub ActionsProgressive Web App

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

LeetCode-Go is a comprehensive collection of solutions to LeetCode coding challenges, all written in Go (also called Golang). LeetCode is a popular platform where software developers practice algorithmic and data structure problems, the kind commonly asked during technical interviews at companies like Google, Facebook, and Apple. This repository provides worked solutions with 100% test coverage, meaning every solution has been verified by automated tests. The project organizes solutions by both data structure (arrays, linked lists, trees, hash tables, stacks, etc.) and algorithm type (sorting, dynamic programming, backtracking, graph algorithms, etc.). Beyond raw solutions, the repository also includes a companion digital book called "LeetCode Cookbook" available to read online as a Progressive Web App, meaning you can install it on your phone or tablet like a regular app and read offline. The book covers theoretical foundations alongside the solutions, explaining the reasoning behind each approach. Someone would use this when preparing for a technical software engineering interview and wanting to study Go-style solutions with well-structured code that follows official Go style guidelines. It is also useful for developers learning Go who want to practice on real problems rather than toy examples. Because all solutions beat 100% of runtimes on the platform at the time of submission, they represent highly optimized implementations. The tech stack is purely Go, with automated test coverage managed through Go's built-in testing framework. The companion book uses a static site generator deployed automatically via GitHub Actions.

Copy-paste prompts

Prompt 1
Show me the Go solution for the two-sum problem from this LeetCode-Go repo and explain the approach.
Prompt 2
How would I use this repository to prepare for a Google technical interview focusing on Go?
Prompt 3
What data structures are covered in this LeetCode-Go collection and how are the solutions organized?
Prompt 4
Can I install the LeetCode Cookbook offline on my phone, and what does it teach alongside the solutions?
Prompt 5
Compare the performance of the dynamic programming solutions in this repo, which ones beat 100% of runtimes?
Open on GitHub → Explain another repo

Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.