Practice interview materials
Candidates will now have access to practice interview experience once invited to take a Byteboard Interview. Our goal is to increase candidate familiarity with Byteboard platform prior to getting started with their interview.
Below is a preview of the practice materials accessible via the candidate interview guide.
Feature-based assessments: Preparing for AI era
Byteboard is dedicated to making assessments relevant to the on-the-job experience including preparing for the world of widely accessible large language models (LLMs). We made the two following updates to continue to assess real-world skills with an AI-pragmatic approach:
- For written, knowledge-based questions (Design Exercise): The ability to apply knowledge to new situations is a critical indicator of mastery and a greater challenge for large language models and is now a fundamental requirement of Byteboard’s evaluation rubric. We look for candidates who can not only propose reasonable ideas, but also justify them.
- For coding-based questions (Coding Implementation): We released feature-based implementation tasks throughout assessment code base; this level of code analysis and design thinking proves difficult for LLMs (as compared to task-based questions with rigid specifications and locations in a codebase that may prove to be easier tasks to LLMs).