📄 中文摘要
为了解决学生在编程面试准备过程中面临的挑战，开发了一种 AI 编程实践导师。这一智能系统能够记住学生的编程表现，并利用 Hindsight 提供个性化的指导。传统的编程平台虽然能评估提交的代码，但往往不能根据学生的学习历史调整学习策略。学生常常重复同样的逻辑错误，缺乏结构化的提升方法，对自己的薄弱环节缺乏认识，也缺乏长期的表现跟踪。该系统通过持久的 AI 记忆，帮助学生更有效地识别和改进自己的编程能力。
构建具有持久记忆的 AI 编程实践导师
📄 English Summary
Building an AI Coding Practice Mentor with Persistent Memory using Hindsight
An AI Coding Practice Mentor has been developed to address the challenges students face while preparing for coding interviews. This intelligent system remembers students' coding performances and provides personalized guidance using persistent AI memory powered by Hindsight. Traditional coding platforms evaluate submissions but often fail to adapt learning strategies based on students' learning histories. Students frequently repeat the same logical mistakes, practice randomly without structured improvement, lack awareness of their weak topics, and do not have long-term performance tracking. This system aims to help students effectively identify and improve their coding skills.