'Always Nice and Confident, Sometimes Wrong': Developer's Experiences Engaging Generative AI Chatbots Versus Human-Powered Q&A Platforms
Jiachen Li, Elizabeth D. Mynatt, Varun Mishra, Jonathan Bell
Abstract
Software engineers have historically relied on human-powered Q&A platforms like Stack Overflow (SO) as coding aids. With the rise of generative AI, developers have started to adopt AI chatbots, such as ChatGPT, in their software development process. Recognizing the potential parallels between human-powered Q&A platforms and AI-powered question-based chatbots, we investigate and compare how developers integrate this assistance into their real-world coding experiences by conducting a thematic analysis of 1700+ Reddit posts. Through a comparative study of SO and ChatGPT, we identified each platform's strengths, use cases, and barriers. Our findings suggest that ChatGPT offers fast, clear, comprehensive responses and fosters a more respectful environment than SO. However, concerns about ChatGPT's reliability stem from its overly confident tone and the absence of validation mechanisms like SO's voting system. Based on these findings, we synthesized the design implications for future GenAI code assistants and recommend a workflow leveraging each platform's unique features to improve developer experiences.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itBuilds on3
- Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow QuestionsSamia Kabir, David N. Udo-Imeh, Bonan Kou, Tianyi ZhangCHI 2024 · 149 citations
- "I Will Not Drink With You Today": A Topic-Guided Thematic Analysis of Addiction Recovery on RedditRobert P. Gauthier, Mary Jean Costello, James R. WallaceCHI 2022 · 70 citations
- How Far Are We? The Triumphs and Trials of Generative AI in Learning Software EngineeringRudrajit Choudhuri, Dylan Liu, Igor Steinmacher, Marco Aurélio Gerosa et al.ICSE 2024 · 43 citations
Related papers
- Using AI Assistants in Software Development: A Qualitative Study on Security Practices and ConcernsJan H. Klemmer, Stefan Albert Horstmann, Nikhil Patnaik, Cordelia Ludden et al.CCS 2024 · 14 citations
- Poisoned ChatGPT Finds Work for Idle Hands: Exploring Developers' Coding Practices with Insecure Suggestions from Poisoned AI ModelsSanghak Oh, Kiho Lee, Seonhye Park, Doowon Kim et al.S&P 2024 · 42 citations
- An Empirical Study of Knowledge Transfer in AI Pair ProgrammingAlisa Welter, Niklas Schneider, Tobias Dick, Kallistos Weis et al.ASE 2025
- Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs CSCW008Junling Wang, Lahari Goswami, Gustavo Kreia Umbelino, Kiara Chau et al.CSCW 2026
- On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the PastAlexander Lill, André N. Meyer, Thomas FritzICSE 2024 · 5 citations
