Description:
Hiring managers increasingly worry about applicants submitting AI-assisted designs, writing samples, or code. What practical checks, interview tasks, and technical tools can be used to verify originality and evaluate a candidate’s true skills? Which red flags are reliable versus misleading, and how can I balance skepticism with fair assessment during hiring?
2 Answers
require process artifacts: drafts, commits, issue discussions and a short recorded walkthrough recreating one change, pay for micro-projects, be explicit about ai rules...
Require small constrained takehome tied to your stack then do teach-back plus live debugging to probe depth use similarity detectors and metadata checks
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