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Reproducibility in the Age of Agentic AI: Context Engineering at the Timescale of a Codebase

LaTeX conversion from manuscript originally written on Google Doc, retrieved 10 September 2026. The manuscript's June 2026 date and wording are preserved.

Preprint

"Reproducibility in the Age of Agentic AI: Context Engineering at the Timescale of a Codebase" Lorena A. Barba, arXiv:2609.11728 [cs.SE]

Abstract: Reproducible research practices are context engineering for AI coding agents. I argue that agents lower the cost of maintaining tests, commit histories, repository structure, instructions, and decision records while making their benefits immediate. Researchers remain responsible for verifying these artifacts and the scientific judgments they encode.

Files

  • paper.tex: editable manuscript, 11-point Palatino (mathpazo), US Letter, 1-inch margins on all four sides.
  • references.bib: ten BibTeX entries covering the nine original citation footnotes. The book and its review are separate entries. Two explanatory footnotes remain, with their references supplied by BibTeX.
  • paper.bbl: generated bibliography, included for source submission.

Notes

Undated web references use n.d.. The Katz entry retains the source's abbreviated author list (Daniel S. Katz and others); its DOI metadata was unavailable during conversion. Book-review metadata was checked against https://bssw.io/items/working-effectively-with-legacy-code. Other citation details follow the supplied footnotes.

Local files (untracked) include:

  • source/google-doc.json: source snapshot preserving document structure and footnotes.

Source: https://docs.google.com/document/d/18NrKpA9MtAYQTHkPsSbvslb3DYeLjPF2n4EoxUMPCYI/edit

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