Building Your Own Product Copilot: Challenges, Opportunities, and Needs
A race is underway to embed advanced AI capabil-ities 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 technol-ogy. 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.
Authors
- Jessica A. J. Rich (ORCID: https://orcid.org/0000-0002-6859-8403)
- Sumit Gulwani (ORCID: https://orcid.org/0000-0002-9226-9634)
- Chris Parnin (ORCID: https://orcid.org/0000-0001-6182-815X)
- Gustavo Soares (ORCID: https://orcid.org/0000-0002-8061-9000)
- Austin Z. Henley (ORCID: https://orcid.org/0000-0003-1069-2795)
- Rahul Pandita (ORCID: https://orcid.org/0000-0002-7466-2985)
Institutions
- Microsoft (United States) (US)
- Carnegie Mellon University (US)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/saner64311.2025.00039
- Citations
- 3
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 3.73