Overview
How to Prepare
Practice strategies, environment setup, and what to do the day before your AI-enabled coding interview.
The single most effective thing you can do is practice. The more problems you do, the more feedback you get, and the more prepared you'll be for the real interview.
To make that easy, we give you an ever-growing set of practice problems for both formats.
Open-ended (your editor, your AI tools)
Pick any of the problems below and you'll get a command to clone the repo onto your machine, with a timer that matches a real interview. Build it however you want, using whatever AI tools you already reach for day to day. When you're done, upload your code and AI chat to get a hire/no-hire rating plus detailed feedback on what to fix before the real thing.
Structured (in-browser sandbox)
Practice right in the browser. Pick a problem and you'll drop straight into an in-browser editor with a built-in AI assistant, the same shape as the CoderPad and HackerRank environments that Meta, LinkedIn, and Uber use. Work through the phases under time and get instant feedback on how you did, so a constrained, unfamiliar AI feels normal well before you're using one for real.
Problem | Difficulty | ||
|---|---|---|---|
Battleship | Easy | ||
Inventory Packer | Easy | ||
Spell Checker | Easy | ||
Card Game | Medium | ||
Friend Recommender | Medium | ||
Maze Solver | Medium | ||
Route Planner | Medium | ||
Task Scheduler | Medium | ||
Word Container | Medium | ||
Connect Four | Hard | ||
Kitchen Orders | Hard | ||
Maximize Unique Characters | Hard | ||
Nonogram Solver | Hard | ||
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