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Between the Commits: Process, Error, and Claim Reliability in a Wholly AI-Authored Codebase

Leith, Douglas
arXiv (All) · Papers
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software-engineering
We present: (i) a new dataset consisting of the full development history of a 21,000-line Python tool built entirely by Claude AI, with no human-authored code or tests, (ii) two code-provenance tracing tools, (iii) three taxonomies for instruction intent, commit provenance, and response reliability,
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