8 papers
Loop Engineering: Building Blocks, Adoption, and Impact
Jai Lal Lulla, Vahram Nersesyan, Seyedmoein Mohsenimofidi +2
Over the past months, the way developers direct agentic AI coding tools has moved up several levels of abstraction, from phrasing prompts to engineering context to configuring the…
An Exploratory Study of Agent Plans for Agentic AI Coding Tools in Open-Source Software
Muhammad Auwal Abubakar, Seyedmoein Mohsenimofidi, Jai Lal Lulla +4
Repository-level configuration artifacts allow developers to provide guidance for agentic AI coding tools, such as Claude Code, Gemini, etc. Although prior research has examined re…
From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained
Haoyu Gao, Jai Lal Lulla, Hong Yi Lin +3
AI coding agents increasingly rely on skills: structured context bundles, typically a SKILLmd file with a YAML header and Markdown body, loaded on demand for domain knowledge, w…
Harness Engineering for Agentic AI Coding Tools: An Exploratory Study
Matthias Galster, Seyedmoein Mohsenimofidi, Jai Lal Lulla +3
Agentic AI coding tools increasingly automate software development tasks. Developers can configure these tools through versioned repository-level artifacts such as Markdown and JSO…
The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol
Jai Lal Lulla, Matthias Galster, Jie M. Zhang +2
Agentic AI coding tools write code with increasing autonomy and in doing so decide when to import a library and when to implement functionality from scratch. These decisions, wheth…
A Dataset of Agentic AI Coding Tool Configurations
Matthias Galster, Seyedmoein Mohsenimofidi, Levi Böhme +4
Agentic AI coding tools such as Claude Code and OpenAI Codex execute multi-step coding tasks with limited human oversight. To steer these tools, developers create repository-level…