Cover Image

How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yinan, Li, Ze Shi, Stolee, Kathryn Thomasset, Xu, Bowen
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From OSS to Open Source AI: an Exploratory Study of Collaborative Development Paradigm Divergence
by: Ye, Hengzhi, et al.
Published: (2026)

Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
by: Kuo, Nadine, et al.
Published: (2026)

The Impact of AI-Assisted Development on Software Security: A Study of Gemini and Developer Experience
by: Jost, Nadine, et al.
Published: (2026)

Enhancing Software Development with Context-Aware Conversational Agents: A User Study on Developer Interactions with Chatbots
by: Melo, Glaucia, et al.
Published: (2025)

AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
by: Choudhuri, Rudrajit, et al.
Published: (2025)

How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering
by: Treude, Christoph, et al.
Published: (2025)

Programming by Chat: A Large-Scale Behavioral Analysis of 11,579 Real-World AI-Assisted IDE Sessions
by: Tang, Ningzhi, et al.
Published: (2026)

From Teacher to Colleague: How Coding Experience Shapes Developer Perceptions of AI Tools
by: Zakharov, Ilya, et al.
Published: (2025)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
by: Ma, Qianou, et al.
Published: (2023)

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
by: Tang, Ningzhi, et al.
Published: (2024)

From Gains to Strains: Modeling Developer Burnout with GenAI Adoption
by: Feng, Zixuan, et al.
Published: (2025)

Evaluating Privacy Perceptions, Experience, and Behavior of Software Development Teams
by: Prybylo, Maxwell, et al.
Published: (2024)

The Fast and Spurious: Developer Productivity with GenAI
by: Afroz, Sadia, et al.
Published: (2025)

Democratizing AI Development: Local LLM Deployment for India's Developer Ecosystem in the Era of Tokenized APIs
by: Udandarao, Vikranth, et al.
Published: (2025)

Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools
by: Buono, Paolo, et al.
Published: (2025)

Developer Needs and Feasible Features for AI Assistants in IDEs
by: Sergeyuk, Agnia, et al.
Published: (2024)

Evolving with AI: A Longitudinal Analysis of Developer Logs
by: Sergeyuk, Agnia, et al.
Published: (2026)

Towards Decoding Developer Cognition in the Age of AI Assistants
by: Haque, Ebtesam Al, et al.
Published: (2025)

How Developers Choose Debugging Strategies for Challenging Web Application Defects
by: Arab, Maryam, et al.
Published: (2025)

How Scientists Use Large Language Models to Program
by: O'Brien, Gabrielle
Published: (2025)

CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development
by: Mowar, Peya, et al.
Published: (2025)

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development
by: Barrocas, André, et al.
Published: (2026)

Who Speaks for Ethics? How Demographics Shape Ethical Advocacy in Software Development
by: Olson, Lauren, et al.
Published: (2025)

Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration
by: Kraishan, Obada
Published: (2025)

Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts
by: Liang, Jenny T., et al.
Published: (2024)

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants
by: Haque, Ebtesam Al, et al.
Published: (2024)

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
by: Choudhuri, Rudrajit, et al.
Published: (2025)

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise
by: Weisz, Justin D., et al.
Published: (2024)

A Model for Understanding and Reducing Developer Burnout
by: Trinkenreich, Bianca, et al.
Published: (2023)

An Exploratory Study on Upper-Level Computing Students' Use of Large Language Models as Tools in a Semester-Long Project
by: Tanay, Ben Arie, et al.
Published: (2024)

Computational Models of Spreadsheet Development: Basis for Educational Approaches
by: Hodnigg, Karin, et al.
Published: (2008)

Pre-Filtering Code Suggestions using Developer Behavioral Telemetry to Optimize LLM-Assisted Programming
by: Awad, Mohammad Nour Al, et al.
Published: (2025)

Understanding Documentation Use Through Log Analysis: An Exploratory Case Study of Four Cloud Services
by: Nam, Daye, et al.
Published: (2023)

SHAPR: A Solo Human-Centred and AI-Assisted Practice Framework for Research Software Development
by: Chan, Ka Ching
Published: (2026)

Why AI Agents Still Need You: Findings from Developer-Agent Collaborations in the Wild
by: Kumar, Aayush, et al.
Published: (2025)

SPROUT: an Interactive Authoring Tool for Generating Programming Tutorials with the Visualization of Large Language Models
by: Liu, Yihan, et al.
Published: (2023)

RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
by: He, Keyu, et al.
Published: (2026)

Navigating Compiler Errors with AI Assistance -- A Study of GPT Hints in an Introductory Programming Course
by: Pankiewicz, Maciej, et al.
Published: (2024)

I Felt Pressured to Give 100% All the Time: How Are Neurodivergent Professionals Being Included in Software Development Teams?
by: Menezes, Nicoly da Silva, et al.
Published: (2025)

Anteater: Interactive Visualization of Program Execution Values in Context
by: Faust, Rebecca, et al.
Published: (2019)