Cheetah: The AI-Powered Interview Assistant Transforming Software Engineering Job Hunts

As the demand for skilled software engineers continues to rise, remote technical interviews have become a standard part of the hiring process. A new AI-powered macOS app called Cheetah has emerged to help candidates tackle these high-stakes interviews, offering real-time, discreet coaching and live coding platform integration.

Designed to help users improve their interview performance and increase their chances of landing lucrative software engineering positions, Cheetah aims to eliminate the need for countless hours spent practicing leetcode challenges and memorizing obscure algorithms. Instead, the app harnesses the power of Whisper for real-time audio transcription and GPT-4 for generating hints and solutions.

To use Cheetah, users must have their own OpenAI API key. Although optimized for GPT-4, the app is also compatible with gpt-3.5-turbo as an alternative. The app relies on Georgi Gerganov’s whisper.cpp and runs locally on M1 or M2 Macs for optimal performance.

To ensure the best results, Cheetah’s audio input should capture both sides of the conversation during video chats on platforms such as Zoom or Google Meet. Users can achieve this by setting up a Multi-Output Device with BlackHole, a free audio loopback driver.

Cheetah’s user interface features three buttons: Answer, Refine, and Analyze. The Answer button generates responses to the interviewer’s questions, while Refine updates the existing answer based on additional constraints or clarifications provided. The Analyze button examines code and logs from the live coding environment in the user’s web browser, requiring the installation of a browser extension. Currently, only Firefox is supported for this feature.

It is important to note that Cheetah is described as a satirical art project, and its creators warn that it may generate incorrect or inappropriate solutions. Users are advised to exercise caution and take responsibility for the information provided by the app.

Despite its satirical nature, Cheetah raises thought-provoking questions about the future of AI in job interviews and the potential impact on the software engineering industry. As AI technology continues to advance, tools like Cheetah may become more commonplace, further blurring the line between human expertise and machine-assisted performance.

So, no more LeetCode interviews? That sounds great, as far as I’m concerned. I’ve never been a fan of sitting through interviews and trying to use obscure algorithms that I’ll never apply in my work. In my opinion, such methods shouldn’t be used to judge a person’s ability to perform.

Get it here but don’t forget you’ll need GPT-4 access for optimal results:

https://github.com/leetcode-mafia/cheetah

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