When I first heard about AI coding assistants, I thought they might replace learning. But after using them, I realized they act more like mentors. For my M.Tech assignments, I often used AI to understand algorithms or debug errors. Instead of just giving me the final code, it explained where I was going wrong.
One of my toughest projects was in Data Structures, and GitHub Copilot gave me code suggestions that saved me hours. The key, however, is not to copy blindly but to use AI as a helper. Asking “why” and “how” is what turns it into a learning experience.
AI coding assistants are also great for experimenting. I used ChatGPT to generate a sample React component, and then I customized it for my project. It saved time and made me more confident about writing clean, structured code. For students, AI can truly enhance productivity when used wisely.

