Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers Through Multi-agent System

TL;DR

Frontend Diffusion is a multi-agent system that helps junior researchers and designers create personalized website code from sketches and prompts, enhancing their self-expression and identity building.

Contribution

It introduces a novel multi-agent coding system that transforms user inputs into website code, emphasizing human-AI collaboration for self-representation.

Findings

AI enhances human creative capabilities rather than replacing them

Bidirectional human-AI alignment is crucial for effective collaboration

User study shows positive impact on junior researchers and designers

Abstract

With the continuous development of generative AI's logical reasoning abilities, AI's growing code-generation potential poses challenges for both technical and creative professionals. But how can these advances be directed toward empowering junior researchers and designers who often require additional help to build and express their professional and personal identities? We introduce Frontend Diffusion, a multi-agent coding system transforming user-drawn layouts and textual prompts into refined website code, thereby supporting self-representation goals. A user study with 13 junior researchers and designers shows AI as a human capability enhancer rather than a replacement, and highlights the importance of bidirectional human-AI alignment. We then discuss future work such as leveraging AI for career development and fostering bidirectional human-AI alignment of multi-agent systems.