• •Coinbase transitioned from take-home assignments to live coding and architectural interviews to better evaluate candidate problem-solving.
• •The engineering team confirmed that AI tools significantly inflated the quality of take-home submissions, obscuring real-world capability.
• •The strategy shift remains untested at high-volume hiring scales, leaving questions about the efficiency of live assessments for junior-level roles.

Coinbase recently overhauled its engineering interview process to prioritize live, collaborative assessments over asynchronous take-home tasks. This move responds to the widespread adoption of AI coding assistants, which allowed candidates to bypass traditional evaluation metrics. While this pivot aims to isolate individual reasoning, it introduces significant friction in terms of time commitment and scalability for recruiting teams. Whether this human-centric shift successfully reduces hiring risk depends on whether the company can maintain consistent assessment standards across a larger pool of applicants.