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Building Your Own Product Copilot: Challenges, Opportunities, and Needs

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arxiv 2312.14231 v1 pith:BTGU4HWE submitted 2023-12-21 cs.SE

classification cs.SE
keywords softwarebuildingchallengesengineeringproductai-poweredcapabilitiescopilots
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 6 citations worldwide. Full citation record

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  2. Towards Decoding Developer Cognition in the Age of AI Assistants

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    A proposal for a controlled study using EEG, eye tracking, and interaction logs to link developer expertise, cognitive load, and perceived versus actual productivity with AI coding assistants.

  3. Accountability of Robust and Reliable AI-Enabled Systems: A Preliminary Study and Roadmap

    cs.SE 2025-06 conditional novelty 2.0 of 10

    A vision paper that reviews robustness, reliability, and accountability in AI systems, uses a single chatbot case study to claim industry gaps, and proposes a roadmap of research questions.

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