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Paper · arXiv

RepoAtlas: Guiding Coding Agents via Evolving Multimodal Repository Views

Large language model (LLM)-powered coding agents have made rapid progress in automating software engineering tasks, yet repository-level issue resolution remains challenging. Beyond generating a plausible patch, an agent must localize relevant code across interdependent files and maintain repository context that is both sufficient and focused. Code graphs expose non-local relations, but linear text interfaces obscure their topology; rendering the full repository graph yields visual representations that are too dense to perceive reliably, whereas a one-shot local view becomes stale as exploration proceeds. We present \textbf{RepoAtlas}, a training-free module that maintains evolving multim...

AuthorsYunxiang Zhang, Haiquan Wang, JiaWei Guo et al.
Primary categorycs.SE
Published15 September 2026
Last updated at source15 September 2026
cs.SEcs.AI
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