Digital art portfolios serve as impactful mediums for artists to convey their visions, weaving together visuals, audio, interactions, and narratives. However, without technical backgrounds, design students often find it challenging to translate creative ideas into tangible codes and designs, given the lack of tailored resources for the non-technical, academic support in art schools, and a comprehensive guiding tool throughout the mentally demanding process. Recognizing the role of companionship in code learning and leveraging generative AI models' capabilities in supporting creative tasks, we present PortfolioMentor, a coding companion chatbot for IDEs. This tool guides and collaborates with students through proactive suggestions and responsible Q&As for learning, inspiration, and support. In detail, the system starts with the understanding of the task and artist's visions, follows the co-creation of visual illustrations, audio or music suggestions and files, click-scroll effects for interactions, and creative vision conceptualization, and finally synthesizes these facets into a polished interactive digital portfolio.

翻译：数字艺术作品集是艺术家传达愿景的有力媒介，融合了视觉、音频、交互与叙事元素。然而，缺乏技术背景的设计类学生常因针对非技术人员的定制化资源匮乏、艺术院校学术支持不足以及缺乏贯穿高心智需求创作全过程的综合引导工具，而难以将创意理念转化为实际代码与设计。基于对编程陪伴作用的认知，并利用生成式AI模型支持创意任务的能力，我们提出了PortfolioMentor——一款面向集成开发环境的编程伴侣聊天机器人。该工具通过主动建议与负责任问答，在学习、灵感激发与支持环节为学生提供引导与协作。具体而言，系统首先理解任务与艺术家的创作愿景，随后围绕视觉插画共创、音频/音乐建议与文件生成、交互式点击滚动特效设计、创意愿景概念化展开协同创作，最终将这些要素融合为精良的交互式数字作品集。