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Backend Developer Builds AI-Powered Mock Interview Tool to Beat Coding Anxiety

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A backend developer with six years of experience struggled with live coding interviews despite strong preparation, freezing during a high-stakes round at a FAANG-adjacent company. Realizing that static practice lacked the pressure and interactivity of real interviews, he sought a more dynamic solution after peer mock interviews proved difficult to schedule and inconsistent in feedback quality. He built a Python-based tool using the OpenAI API, configuring it with a strict system prompt to simulate a technical interviewer that asks problems, poses follow-up questions, and withholds answers until appropriate. The script maintains conversation context, enforces interviewer behavior, and delivers structured end-of-session evaluations scoring communication, problem understanding, and technical accuracy. While the tool cannot fully replicate human nuance, the developer found it effective for on-demand, pressure-simulating practice at any hour.

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Backend Developer Builds AI-Powered Mock Interview Tool to Beat Coding Anxiety · ShortSingh