This systematic literature review examines the role of large language models (LLMs) in UI/UX design, synthesizing findings from 38 peer-reviewed studies published between 2022 and 2025. We identify key LLMs in use, including GPT-4, Gemini, and PaLM, and map their integration across the design lifecycle, from ideation to evaluation. Common practices include prompt engineering, human-in-the-loop workflows, and multimodal input. While LLMs are reshaping design processes, challenges such as hallucination, prompt instability, and limited explainability persist. Our findings highlight LLMs as emerging collaborators in design, and we propose directions for the ethical, inclusive, and effective integration of these technologies.

A resource on understanding psychology in product design. By Wouter de Bres, focusing on how to understand both the minds you design for and the mind you design with.

This interactive resource from En Dash explores two fundamental UI patterns and when each serves users best. Key Concepts Modal...

A curated collection of creative 404 error page designs. Inspiration gallery showcasing innovative approaches to transforming user frustration into delightful experiences.