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.
The industry's problems have also led to layoffs and pay cuts across the country.
Ранее сообщалось, что в Таиланде строительный кран упал на поезд, в котором ехали молодожены, сыгравшие свадьбу за день до этого. Спасти мужа и жену не удалось.。新收录的资料是该领域的重要参考
notify-on-command-finish configuration. This can be set to trigger
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В России допустили «второй Чернобыль» в Иране22:31
新时代以来，以“功在当代、利在千秋”之志，开展生态文明建设一系列开创性工作；站在“为民族复兴立根铸魂”的高度，推动中华优秀传统文化创造性转化、创新性发展；秉持跳出治乱兴衰“历史周期率”的清醒，纵深推进全面从严治党……。业内人士推荐新收录的资料作为进阶阅读