In the era of AI, theoretical knowledge is more important than ever. Recently, while solving the Reverse Integer problem, I realized the real challenge wasn’t reversing digits but understanding 32-bit overflow and memory limits. Python hides overflow with dynamic integers, but low-level constraints still matter. AI can generate working code instantly, yet without knowing concepts like time complexity, integer ranges, or the Euclidean algorithm, it’s hard to judge correctness. Theory builds intuition and clarity. It helps you detect hidden constraints and avoid blind trust in generated solutions. AI is powerful, but fundamentals are what make you truly independent and confident.
