Communication During AI-Assisted Coding Questions

Assess a candidate's ability to communicate clearly and continuously while pair-programming with an AI coding assistant. Topics include stating the plan and acceptance criteria before invoking the assistant, narrating reasoning and trade-offs while it generates code, explaining why specific prompts were chosen, and describing verification strategies (tests, edge cases, code review) to validate generated output. Candidates should demonstrate how they fill pauses during generation by outlining tests to run, edge cases to consider, and potential refactors. Interviewers evaluate clarity of technical explanation, ability to spot limitations or errors in AI-generated code, and skill in prompting the assistant toward maintainable, secure, production-ready code.