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常见问题解答

中小企业如何把握机遇？

对于中小企业而言，建议从以下几个方面入手：Abstract:Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced by benchmarks like SWE-bench. However, in the real world, the development of mature software is typically predicated on complex requirement changes and long-term feature iterations -- a process that static, one-shot repair paradigms fail to capture. To bridge this gap, we propose \textbf{SWE-CI}, the first repository-level benchmark built upon the Continuous Integration loop, aiming to shift the evaluation paradigm for code generation from static, short-term \textit{functional correctness} toward dynamic, long-term \textit{maintainability}. The benchmark comprises 100 tasks, each corresponding on average to an evolution history spanning 233 days and 71 consecutive commits in a real-world code repository. SWE-CI requires agents to systematically resolve these tasks through dozens of rounds of analysis and coding iterations. SWE-CI provides valuable insights into how well agents can sustain code quality throughout long-term evolution.

普通用户会受到什么影响？

对于终端用户而言，最直观的变化体现在产业环境的多重客观限制进一步阻碍龙虾落地。多数企事业单位为保障数据安全实行严格的内外网隔离，而龙虾运行必须依赖外网资源调用与功能激活，在内网环境根本无法运作。许多人刚知晓龙虾，次日就收到公司禁止安装使用的通知，原本摩拳擦掌准备布局项目的员工立即偃旗息鼓。真想体验只能下班后通过外网自学，完全无法融入组织工作流程，更谈不上业务赋能。

关于作者

刘洋，资深科技记者，曾任职于36氪、钛媒体等知名科技媒体，擅长深度技术报道。