Author

Christoph Treude

Observed name: Treude, Christoph

Institution: Singapore Management University

Observed institutions: Harbin Institute of Technology, Singapore Management University

ORCID: 0000-0002-6919-2149

Observed ORCID: 0000-0002-6919-2149

OpenAlex ID: A5134124070

Loop Engineering: Building Blocks, Adoption, and Impact

2026 · Lulla, Jai Lal, Nersesyan, Vahram, et al. · arXiv (Cornell University) · 1

From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained

2026 · Gao, Haoyu, Lulla, Jai Lal, et al. · arXiv (Cornell University) · 1

Disposable Implementations: What Is Software Engineering For?

2026 · Treude, Christoph · arXiv (Cornell University)

What Will Replace Pull Requests? Rethinking Software Collaboration for AI Agents

2026 · Treude, Christoph, Baltes, Sebastian · arXiv (Cornell University)

Ethics by Configuration: AI Ethics Principles in Coding Agent Instructions

2026 · Gao, Haoyu, Banyongrakkul, Peerachai, et al. · arXiv (Cornell University)

How Do Coding-Agent Harnesses Self-Evolve? An Empirical Study of Retrospective Adaptation

2026 · Treude, Christoph, Baltes, Sebastian · arXiv (Cornell University)

Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study

2026 · Ferino, Samuel, Hoda, Rashina, et al. · arXiv (Cornell University)

Acquiring and Verifying Repository Norms for Coding Agents

2026 · He, Kaifeng, Zhang, Xiaojun, et al. · arXiv (Cornell University)

AI Policies: Help or Hindrance? A Software Developer's Perspective

2026 · Ferino, Samuel, Hoda, Rashina, et al. · arXiv (Cornell University)

Integrating Crash Report Mining and LLMs for Bug Localization and Repair: An Industrial Report

2026 · Marcos Medeiros, Uirá Kulesza, et al. · IEEE International Conference on Software Maintenance (ICSM)

How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests

2026 · Rooijendijk, Pien, Treude, Christoph, et al. · arXiv (Cornell University)

Context Rot in AI-Assisted Software Development: Repurposing Documentation Consistency for AI Configuration Artifacts

2026 · Treude, Christoph, Baltes, Sebastian · arXiv (Cornell University)

The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol

2026 · Lulla, Jai Lal, Galster, Matthias, et al. · arXiv (Cornell University)

Improving LLM-Based Go Code Review through Issue-List Generation and Context Augmentation

2026 · Sun, Kexin, Guan, Yucong, et al. · arXiv (Cornell University)

Deterministic vs. Probabilistic Summarisation: An Empirical Trade-off Study in Design Pattern Centric Java Code

2026 · Nazar, Najam, Treude, Christoph · arXiv (Cornell University)

When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems

2026 · Banyongrakkul, Peerachai, Zahedi, Mansooreh, et al. · arXiv (Cornell University)

AI Slop and the Software Commons

2026 · Baltes, Sebastian, Cheong, Marc, et al. · arXiv (Cornell University)

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI

2026 · Christoph Treude, Christopher M. Poskitt, et al. · IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE)

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

2026 · Lin, Hong Yi, Liu, Chunhua, et al. · arXiv (Cornell University)

Does My README File Need To Be Updated? Exploring LLM-Based README Maintenance

2026 · Gao, Haoyu, Lin, Hong Yi, et al. · arXiv (Cornell University)

ModARO: A Modular Approach to Architecture Reconstruction of Distributed Microservice Codebases

2026 · Manglaras, Oscar, Farkas, Alex, et al. · arXiv (Cornell University)

Distributed Architecture Reconstruction of Polyglot and Multi-Repository Microservice Projects

2026 · Manglaras, Oscar, Farkas, Alex, et al. · arXiv (Cornell University)

Enhancing the Non-Functional Quality Compliance of LLM-Generated Code through Quality-Aware Preference Learning

2025 · Lu, Liang, Jiang, Yuan, et al. · arXiv (Cornell University)

Works count: 23

Citation count: 2

H-index: 1

I10-index: