paperJune 2026Unreviewed

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

Jai Lal Lulla, Matthias Galster, Jie M. Zhang, Sebastian Baltes, Christoph Treude

Abstract

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, whether to build functionality from scratch or buy into an external library, hereafter build-versus-buy, carry direct consequences for software security, licensing compliance, performance, and long-term maintainability. Yet no controlled experimental study has examined what governs build-versus-buy decisions in agentic AI c

Cite

@misc{lulla2026impact,
  title = {{The Impact of Configuring Agentic AI Coding Tools on Build-vs-Buy Decisions: A Study Protocol}},
  author = {Jai Lal Lulla and Matthias Galster and Jie M. Zhang and Sebastian Baltes and Christoph Treude},
  year = {2026},
  month = jun,
  eprint = {2606.03907},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.03907}
}