AI RESEARCH
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
arXiv CS.CL
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ArXi:2603.26664v1 Announce Type: cross Large language model (LLM)-based coding agents achieve impressive results on controlled benchmarks yet routinely produce pull requests that real maintainers reject. The root cause is not functional incorrectness but a lack of organicity: generated code ignores project-specific conventions, duplicates functionality already provided by internal APIs, and violates implicit architectural constraints accumulated over years of development.