AI RESEARCH
Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
arXiv CS.CL
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ArXi:2510.04905v3 Announce Type: replace-cross Recent advances in large language models (LLMs) have significantly improved automated code generation. While existing approaches have achieved strong performance at the function and file levels, real-world software engineering requires reasoning over entire repositories, including cross-file dependencies, evolving execution environments, and global semantic consistency.