How To Assess Ai Assisted Coding

The Code Compiles, Reads Well, and Nobody on the Team Understands It

Generated code fails in a different pattern from human code, which is why normal review habits miss it. Here is the review order that catches the most in the least time, and the hiring task built from it.

Everyone Says They Use AI Daily. Watching Them Do It Tells a Different Story.

Every candidate now claims AI fluency, so the claim carries no information. Here is what tool choice, context giving, verification and responsible use look like when you actually watch someone work, and the tasks that surface each one.

Designing Take-Home Challenges That Survive AI

A model can solve most take-home challenges in seconds, so testing what AI does well is a waste of everyone's time. Here is how to redesign a take-home around judgment and defense, so AI becomes a tool the candidate uses in front of you instead of a way to fake the result.