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DeepRepoQA: Code Repository Question Answering with Deep Agent Exploration

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Answering developer questions about a software repository is a critical yet under-explored problem in software engineering. While existing repository understanding methods have advanced the field, they predominantly rely on surface-level code retrieval and lack the ability for deep reasoning over multiple files, complex software architectures, and grounding answers in long-range code dependencies. To address these limitations, we propose DeepRepoQA, a novel question answering (QA) framework for repository-level code understanding. DeepRepoQA builds on an agentic framework where LLM agents find

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Evidence & attribution

First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.