CoPrompt is a collaborative prompt engineering tool designed to assist programmers in LLM-driven natural language programming by facilitating seamless collaboration on prompt creation and refinement. It offers four key mechanisms: sharing, referring, linking, and requesting. These features allow programmers to share information effortlessly, modify prompts by referring to others' work, link prompts for automatic updates, and request assistance without interrupting collaborators' workflow. By providing multi-level hierarchical views and contextual prompt information, CoPrompt helps reduce communication barriers and repetitive updates, making collaborative prompt engineering more efficient.
- Recognition & Outreach
- Accepted and presented at CHI 2024: CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
- Core Features
- Seamless collaboration through sharing, referring, linking, and requesting prompts
- Multi-level hierarchical views for prompt comprehension and modification
- Automated updates of linked prompts, reducing repetitive changes
- Facilitates both real-time and asynchronous collaboration
- SkillsPython, PyTorch, scikit-learn, Machine Learning, Evasion Attacks, D3.js, JavaScript, OpenAI API
- AuthorsLi Feng, Ryan Yen, Yuzhe You, Mingming Fan, Jian Zhao, Zhicong Lu
- KeywordsHCI, Collaborative Programming, Natural Language Programming, Prompt Engineering, Large Language Models (LLMs)