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

๐Ÿ“… 2026-09-10
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๐Ÿค– AI Summary
ๆœฌๆ–‡ๆŽข่ฎจไบ†้€š่ฟ‡AI็ผ–็ ไปฃ็†่ฟ›่กŒไธŠไธ‹ๆ–‡ๅทฅ็จ‹ไปฅ้™ไฝŽ็ปดๆŠคๆˆๆœฌๅนถๆ้ซ˜็ง‘็ ”ๅฏๅค็Žฐๆ€ง็š„้—ฎ้ข˜ใ€‚
๐Ÿ“ 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.
Problem

Research questions and friction points this paper is trying to address.

Reproducibility
Agentic AI
Context Engineering
Codebase
Innovation

Methods, ideas, or system contributions that make the work stand out.

AI coding agents
context engineering
reproducibility
research practices
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