Cover Image

AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Haoyu, Zahedi, Mansooreh, Jiang, Wenxin, Lin, Hong Yi, Davis, James, Treude, Christoph
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers
by: Banyongrakkul, Peerachai, et al.
Published: (2025)

When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
by: Banyongrakkul, Peerachai, et al.
Published: (2026)

Adapting Installation Instructions in Rapidly Evolving Software Ecosystems
by: Gao, Haoyu, et al.
Published: (2023)

On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source
by: Gao, Haoyu, et al.
Published: (2026)

Does My README File Need To Be Updated? Exploring LLM-Based README Maintenance
by: Gao, Haoyu, et al.
Published: (2026)

Documenting Ethical Considerations in Open Source AI Models
by: Gao, Haoyu, et al.
Published: (2024)

Are You a Real Software Engineer? Best Practices in Online Recruitment for Software Engineering Studies
by: Alami, Adam, et al.
Published: (2024)

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
by: Salerno, Larissa, et al.
Published: (2024)

Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
by: Nasab, Ali Rezaei, et al.
Published: (2024)

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
by: Lin, Hong Yi, et al.
Published: (2026)

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
by: Lin, Hong Yi, et al.
Published: (2025)

"An Endless Stream of AI Slop": The Growing Burden of AI-Assisted Software Development
by: Baltes, Sebastian, et al.
Published: (2026)

Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots
by: Treude, Christoph, et al.
Published: (2024)

The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report
by: Hu, Xing, et al.
Published: (2025)

Prioritising GitHub Priority Labels
by: Caddy, James, et al.
Published: (2024)

Improving Automated Code Reviews: Learning from Experience
by: Lin, Hong Yi, et al.
Published: (2024)

Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions
by: Xiao, Tao, et al.
Published: (2024)

Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
by: Treude, Christoph
Published: (2024)

GenAI Is No Silver Bullet for Qualitative Research in Software Engineering
by: Ernst, Neil A., et al.
Published: (2026)

AI Slop and the Software Commons
by: Baltes, Sebastian, et al.
Published: (2026)

Towards the First Code Contribution: Processes and Information Needs
by: Treude, Christoph, et al.
Published: (2024)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
by: Kula, Raula Gaikovina, et al.
Published: (2025)

Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
by: Treude, Christoph, et al.
Published: (2026)

On Regulating Downstream AI Developers
by: Williams, Sophie, et al.
Published: (2025)

Do Comments and Expertise Still Matter? An Experiment on Programmers' Adoption of AI-Generated JavaScript Code
by: Li, Changwen, et al.
Published: (2025)

Contributing Back to the Ecosystem: A User Survey of NPM Developers
by: Wattanakriengkrai, Supatsara, et al.
Published: (2024)

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

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
by: Treude, Christoph
Published: (2026)

DevGPT: Studying Developer-ChatGPT Conversations
by: Xiao, Tao, et al.
Published: (2023)

Gender Influence on Student Teams' Online Communication in Software Engineering Education
by: Garcia, Rita, et al.
Published: (2025)

Deterministic vs. Probabilistic Summarisation: An Empirical Trade-off Study in Design Pattern Centric Java Code
by: Nazar, Najam, et al.
Published: (2026)

Enhancing Source Code Representations for Deep Learning with Static Analysis
by: Guan, Xueting, et al.
Published: (2024)

Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
by: Arani, Ali Kazemi, et al.
Published: (2024)

Context Engineering for AI Agents in Open-Source Software
by: Mohsenimofidi, Seyedmoein, et al.
Published: (2025)

Generative AI and Empirical Software Engineering: A Paradigm Shift
by: Treude, Christoph, et al.
Published: (2025)

Reusing Deep Learning Models: Challenges and Directions in Software Engineering
by: Davis, James C., et al.
Published: (2024)

How Do Software Developers Use GitHub Actions to Automate Their Workflows?
by: Kinsman, Timothy, et al.
Published: (2021)

What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study
by: Ferreyra, Nicolás E. Díaz, et al.
Published: (2024)

The Impact of Sanctions on GitHub Developers and Activities
by: Fan, Youmei, et al.
Published: (2024)