AI Coding Interview Questions

AI-enabled coding interviews are a new format where you're allowed — and expected — to use an AI assistant like Cursor, Copilot, or Claude Code during the round. They look nothing like a traditional LeetCode problem: you're usually dropped into a multi-file codebase and asked to fix a bug, implement a feature, and optimize for scale, producing hundreds of lines you didn't write by hand but have to fully understand. These are real AI coding interview questions reported by candidates who went through AI-enabled rounds at companies like Meta, Shopify, and Rippling. Practicing them is how you build the skill these interviews actually test: directing the AI, catching what it gets wrong, and defending every decision — not prompting your way to an answer you can't explain. New to the format? Read our complete AI coding interview guide first.

67 Questions 375 Companies06.28.2026
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Frequently Asked Questions

What is an AI coding interview?
An AI-enabled coding interview is a round where you're allowed to use an AI assistant (Cursor, Copilot, Claude Code, etc.). The problems are larger and codebase-based, and interviewers evaluate whether you direct and verify the AI rather than passively accept its output.
Which companies use AI-enabled coding interviews?
Meta rolled out AI-enabled coding in late 2025, and candidates have reported similar formats at Shopify, Rippling, LinkedIn, Canva, and others. The list keeps growing.
How do I prepare for an AI coding interview?
Practice reading unfamiliar codebases quickly, solving problems yourself before reaching for the AI, and verifying AI output line by line. Drill these real AI-enabled questions and read PracHub's AI coding interview guide for the full rubric.