kmigiet

kmigiet / job-interview

Public

Everything you need to know to get the job.

www.youtube.comchannelUCKvwPt6BifPP54yzH99ff1g?view_as=subscriber
81
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100% credibility
Found Feb 19, 2026 at 35 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A guide and collection of coding interview problems with solutions organized by company, plus explanations of data structures and algorithms.

How It Works

1
🔍 Discover interview prep

You search online for coding interview tips and find this helpful collection of practice problems.

2
📖 Read the friendly guide

Open the main page to see simple explanations of key ideas like lists, trees, and sorting tricks.

3
💼 Pick your dream companies

Browse folders for big names like Google or Amazon to see real questions they ask in interviews.

4
👀 Study the examples

Check out easy-to-read solutions for each puzzle to understand how to solve them step by step.

5
🌐 Try more practice

Follow links to free sites to test yourself with similar challenges and build confidence.

🎉 Ace your interviews!

With all this practice, you walk into job interviews feeling ready to shine and land your dream role.

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Star Growth

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AI-Generated Review

What is job-interview?

This GitHub repo packs Java solutions to classic LeetCode-style coding problems asked at top companies like Amazon, Facebook, and Airbnb, plus a beefy README covering data structures, algorithms, sorting, graphs, and prep resources like online judges and books. It's your one-stop "everything you need to know to get the job," ideal for ai job interview github practice—download, run the code, and drill patterns without hunting scattered problems. Developers get targeted practice mirroring real interviews, from Two Sum to graph traversals.

Why is it gaining traction?

Unlike generic LeetCode lists, it's organized by company (e.g., Amazon's 3Sum or Facebook's Merge Intervals), letting you simulate specific interviews fast. The hook? Bite-sized, compilable Java snippets plus runtime complexities and video links—everything github search style, no fluff, just executable prep that builds intuition over rote grinding.

Who should use this?

Backend Java devs grinding FAANG interviews, especially mid-level engineers targeting Amazon or Google roles with linked lists, trees, and DP heavyweights. New grads prepping system design basics or anyone needing quick company-specific everything github download for mock sessions.

Verdict

Solid starter for interview cramming despite low 19 stars and 1.0% credibility score—docs shine via the README, but lacks tests or updates signaling early maturity. Grab it if you're Java-focused and time-strapped; otherwise, pair with LeetCode for broader coverage.

(198 words)

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