Paper Detail
Shuquan Lian, Juncheng Liu, Yazhe Chen, Yuhong Chen, Hui Li
Prior representative ReAct-style approaches in autonomous Software Engineering (SWE) typically lack the explicit System-2 reasoning required for deep analysis and handling complex edge cases. While recent reasoning models demonstrate the potential of extended Chain-of-Thought (CoT), applying them to the multi-turn SWE task creates a fundamental dilemma: retaining full reasoning history leads to context explosion and ``Lost-in-the-Middle'' degradation, while discarding it would force the agent to redundantly re-reason at every step. To address these challenges, we propose SWE-AGILE, a novel software agent framework designed to bridge the gap between reasoning depth, efficiency, and context constraints. SWE-AGILE introduces a Dynamic Reasoning Context strategy, maintaining a ``sliding window'' of detailed reasoning for immediate continuity to prevent redundant re-analyzing, while compressing historical reasoning content into concise Reasoning Digests. Empirically, SWE-AGILE sets a new standard for 7B-8B models on SWE-Bench-Verified using only 2.2k trajectories and 896 tasks. Code is available at https://github.com/KDEGroup/SWE-AGILE.
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@misc{lian2026swe,
title = {SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context},
author = {Shuquan Lian and Juncheng Liu and Yazhe Chen and Yuhong Chen and Hui Li},
year = {2026},
abstract = {Prior representative ReAct-style approaches in autonomous Software Engineering (SWE) typically lack the explicit System-2 reasoning required for deep analysis and handling complex edge cases. While recent reasoning models demonstrate the potential of extended Chain-of-Thought (CoT), applying them to the multi-turn SWE task creates a fundamental dilemma: retaining full reasoning history leads to context explosion and ``Lost-in-the-Middle'' degradation, while discarding it would force the agent to},
url = {https://huggingface.co/papers/2604.11716},
keywords = {ReAct-style approaches, System-2 reasoning, Chain-of-Thought, multi-turn SWE task, context explosion, Lost-in-the-Middle degradation, dynamic reasoning context, sliding window, reasoning digests, SWE-Bench-Verified, code available, huggingface daily},
eprint = {2604.11716},
archiveprefix = {arXiv},
}
{}