Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution

LLM-based coding agents have significantly advanced automated software issue resolution, yet they remain highly prone to factual errors caused by insufficient repository understanding. Recent methods attempt to mitigate this limitation through pre-repair repository exploration; however, their fix-driven strategies explore repositories without identifying the agent's knowledge gaps, often yielding imprecise context that fails to bridge the underlying understanding deficit. In this paper, we propo

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ethics.ai (12 July 2026), “Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution,” evidence record 10322, https://ethics.ai/record/10322 (originally published by HuggingFace Daily Papers).

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