Title: Posting from a throwaway account to maintain privacy.<p>This project is a salvo against leetcode-style interviews that require candidates  to study useless topics and confidently write code in front of a live audience, in order to get a job where none of that stuff matters.<p>Cheetah is an AI-powered macOS app designed to assist users during remote software engineering interviews by providing real-time, discreet coaching and integration with CoderPad. It uses Whisper for audio transcription and GPT-4 to generate hints&#x2F;answers. The UI is intentionally minimal to allow for discreet use during a video call.<p>It was fun dipping into the world of LLMs, prompt chaining, etc. I didn&#x27;t find a Swift wrapper for whisper.cpp, so in the repo there&#x27;s also a barebones Swift framework that wraps whisper.cpp and is designed for real-time transcription on M1&#x2F;M2.<p>I&#x27;ll be around if anyone has questions or comments!
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