📄 中文摘要
在人工智能时代，理论知识显得尤为重要。解决反转整数问题时，真正的挑战并非仅仅是反转数字，而是理解32位溢出和内存限制。虽然Python通过动态整数隐藏了溢出问题，但底层的约束依然重要。尽管AI能够瞬间生成有效代码，但如果不了解时间复杂度、整数范围或欧几里得算法等概念，就很难判断代码的正确性。理论知识能够培养直觉和清晰度，帮助识别隐藏的约束，避免对生成解决方案的盲目信任。AI虽然强大，但基础知识才是真正让人独立和自信的关键。
你复习基础知识了吗？
出处: Did you brush up on your fundamentals?
发布: 2026年2月17日
📄 English Summary
Did you brush up on your fundamentals?
In the age of AI, theoretical knowledge is crucial. While tackling the Reverse Integer problem, the real challenge was not merely reversing digits but understanding 32-bit overflow and memory limits. Python conceals overflow with dynamic integers, yet low-level constraints remain significant. AI can generate functional code instantly, but without grasping concepts like time complexity, integer ranges, or the Euclidean algorithm, assessing correctness becomes difficult. Theory fosters intuition and clarity, enabling the detection of hidden constraints and preventing blind trust in generated solutions. Although AI is powerful, it is the fundamentals that truly empower independence and confidence.