Cluster1 sources· last seen 3d ago· first seen 3d ago
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
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, duplicate
Lead: arXivBigness: 4commitgeneratingorganicpullrequests
📡 Coverage
10
1 news source
🟠 Hacker News
0
🔴 Reddit
0
📈 Google Trends
0
Full methodology: How scoring works
Receipts (all sources)
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
ARXIV · arXiv · 3d ago
score 0
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, duplicate