How is AI used in the Front-End Development programme?
AI in FED is used as a supportive tool that helps students speed up tasks such as code suggestions, design enhancements, testing, and learning new concepts more efficiently. It boosts productivity and creativity, but it does not replace the core skills students develop as front-end developers. Students are encouraged to use AI and are guided on how to responsibly and effectively apply AI tools, preparing them for its increasing role in the industry.
How is AI being used in the workplace as a Front-End Developer?
AI is transforming front-end development by enhancing both the user experience and the development process. It enables the creation of adaptive and user-centric designs, tailoring interfaces to individual preferences and behaviors. Developers can use AI tools like GitHub Copilot and Tabnine to generate boilerplate code, suggest relevant code snippets, and autocomplete complex structures, saving time and allowing them to focus on creative problem-solving.
AI also helps optimize code by analyzing performance, reducing unnecessary re-renders in frameworks like React, and resolving inefficiencies in CSS and JavaScript. Furthermore, AI streamlines the development process by automating tasks such as testing and debugging, enabling developers to detect and address issues faster than traditional methods.
While AI offers significant efficiency and precision, it cannot replace a developer’s creativity, empathy, and contextual judgment. Skilled developers remain essential for designing and evaluating solutions that meet user needs, ensuring that the human touch remains at the core of frontend development.
