Recently, I started working on a Price Tracker project to understand how real-world applications are built. The idea is simple: track product prices, compare changes, and help users decide when it might be a good time to buy. While developing it, I also used AI as a coding assistant to understand concepts, debug errors, explore different approaches, and improve parts of the code. But I didn’t want to simply copy and paste AI-generated code—I focused on understanding how the code works, testing it, and making the development decisions myself. This project has been a good learning experience for me as a CSE student, especially in understanding backend development, APIs, databases, and how AI can be used as a tool without replacing the learning process. 🚀