cs.SE · 2026-08-09 · No. 79

Software Engineering, 2026-08-09.

2 new papers in cs.SE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Learning Globally Reusable Skills for Coding Agents

    Chen Yang, Jiashuo Tian, Ziqi Wang, Xinyin Liu, Meiru Ye, Junjie Chen

    cs.SE · cs.AI

    Automated skill evolution enables Large Language Model (LLM) agents to continuously improve without expensive retraining. However, existing approaches typically treat skill evolution as a sequence of local updates, overlooking relationships among skills and often producing overfitted skill updates that fail to generalize across tasks. We propose GSE, a globalized skill evolution framework that jointly optimizes skill compatibility and skill...

    arxiv.org/abs/2608.06153 · PDF

  2. 02

    CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents

    Wuya Chen, Yihao yang, Yang Cao, Yue Lin

    cs.SE · cs.AI

    Modern LLM coding agents such as Claude Code and OpenHands share a common inefficiency: they spend much of their token budget finding the file to patch, rather than patching it. On SWE-Bench Verified, a 30B OpenHands agent averages 23 rounds and 631K tokens per resolved issue, with many calls spent on grep, glob, and view_file during repository exploration. We introduce CodeGrep, a 14B retrieval agent trained end-to-end with GRPO to issue...

    arxiv.org/abs/2608.05886 · PDF

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