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The impact of AI on the technical interview process
AI's increasing competency at complex tasks like coding creates a boon for teams that want to harness AI to boost productivity. However, many teams haven't stopped to rethink their technical candidate screening and qualification process to account for these rapid changes.
Candidates that have been through this process are surely familiar with Gayle McDowell's Cracking the Coding Interview which goes thorough strategies, tips, and refreshers for many experienced engineers who may be far removed from these types of algorithmic brain teasers. While AI may not(yet) be the right tool to build whole systems, it is already quite competent in both autocompletion as well as generation of standalone units of code and can solve N-Queens hundreds of times faster than I could! For example, a code review of a small React app, an API, and a database schema can easily identify a candidate's strength bias in the stack while still allowing measurement of the depth of their knowledge.
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