As AI IDEs like Cursor reshape daily engineering workflows, tech companies are fundamentally altering the technical interview loop. The traditional challenge of writing 30 lines of standalone algorithmic code in a sandboxed browser is giving way to AI enabled interviews, where candidates navigate multi file codebases while leveraging LLMs. However, this shift has also spawned a dangerous market for real time live assistance tools that claim undetectability against screen monitors a strategy with documented cases of rescinded offers. This article breaks down the three tier AI interview tool ecosystem, analyzes the risks of live assistance, and outlines an optimal framework for using LLMs as structured prep tutors.
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