AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion

📰 ArXiv cs.AI

arXiv:2601.19697v2 Announce Type: replace-cross Abstract: Repository-level code completion remains a challenging task for existing code large language models (code LLMs) due to their limited understanding of repository-specific context and domain knowledge. While retrieval-augmented generation (RAG) approaches have shown promise by retrieving relevant code snippets as cross-file context, they suffer from two fundamental problems: misalignment between the query and the target code in the retrieva

Published 16 Jun 2026
Read full paper → ← Back to Reads