Modern software relies heavily on third-party libraries, requiring maintainers to balance the benefits of reuse against dependency-related maintenance and risk. We define dependency transformation as an emerging approach in which an AI coding agent alters how a repository handles external dependencies. Local reimplemen...
Kaya Kitada, Yoshiki Higo, R. G. Kula· 0 citations
It is found that security concerns motivated 83 of 92 adoption events with known motivations and early adopters favor simple default delays over fine-grained controls for dependencies with clear update priorities, suggesting that tools could provide robust defaults reflecting ecosystem support and reserve fine-grained...
Hidetake Tanaka, Rikuto Tsuchida, Kazumasa Shimari et al.· 0 citations
This paper proposes Agent ATO (Agentic Trajectory Observer), a tool for visualizing AI coding agent interaction timelines from console logs and provides filtered timelines that emphasize file discovery, file reading, file editing, and execution while preserving surrounding context.
Takuto Kawamoto, Yoshiki Hig, R. G. Kula· 0 citations
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