Building Your Own Product Copilot: Challenges, Opportunities, and Needs
December 21, 2023 Β· Declared Dead Β· π IEEE International Conference on Software Analysis, Evolution, and Reengineering
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Authors
Chris Parnin, Gustavo Soares, Rahul Pandita, Sumit Gulwani, Jessica Rich, Austin Z. Henley
arXiv ID
2312.14231
Category
cs.SE: Software Engineering
Citations
29
Venue
IEEE International Conference on Software Analysis, Evolution, and Reengineering
Last Checked
4 months ago
Abstract
A race is underway to embed advanced AI capabilities into products. These product copilots enable users to ask questions in natural language and receive relevant responses that are specific to the user's context. In fact, virtually every large technology company is looking to add these capabilities to their software products. However, for most software engineers, this is often their first encounter with integrating AI-powered technology. Furthermore, software engineering processes and tools have not caught up with the challenges and scale involved with building AI-powered applications. In this work, we present the findings of an interview study with 26 professional software engineers responsible for building product copilots at various companies. From our interviews, we found pain points at every step of the engineering process and the challenges that strained existing development practices. We then conducted group brainstorming sessions to collaborative on opportunities and tool designs for the broader software engineering community.
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