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常见问题解答

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.

行业格局会发生怎样的变化？

业内预计，未来2-3年内行业将出现过去数十年间，我们对豪华汽车的认知很大程度上继承了燃油车时代的美学遗产。大型进气格栅源于散热需求，繁复的镀铬装饰与厚重的车身线条，既反映了当时的制造工艺与成本考量，也体现了特定时代的社会身份象征与审美取向。