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KAT-Coder-V2.5 agent improves autonomous repository interaction

Researchers have introduced KAT-Coder-V2.5, an advanced coding agent designed for autonomous operation within software repositories. The model's development focused on overcoming limitations in reproducible environments and verifiable rewards through a novel post-training framework. This framework includes AutoBuilder for reconstructing repositories and KwaiClawEnv for synthesizing tool-use trajectories. KAT-Coder-V2.5 demonstrates strong performance, achieving the top agentic tool-use result on PinchBench and ranking second on repository-level software engineering tasks, closely following Opus 4.8. AI

IMPACT This model advances autonomous agent capabilities in software engineering, potentially improving developer productivity and code generation efficiency.

RANK_REASON Publication of a technical report detailing a new AI model and its performance on benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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KAT-Coder-V2.5 agent improves autonomous repository interaction

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Bo Huang, Fengxiang Li, Hao Xu, Haoyang Huang, Hongyi Fu, Jinhua Hao, Kun Yuan, Minglei Zhang, Pengcheng Xu, Shiyang Liu, Wenhao Zhuang, Yuze Shi, Zongxian Feng, Chao Wang, Cheng He, Chongling Rao, Deyu Cao, Fan Yang, Gang Xiong, Haochen Liu, Jiabao Li, … ·

    KAT-Coder-V2.5 Technical Report

    arXiv:2607.05471v1 Announce Type: cross Abstract: We present KAT-Coder-V2.5, a coding-focused agentic model trained to act autonomously inside real, executable repositories rather than as a single-turn code generator. Its capability is bottlenecked less by model scale than by the…