I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
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// ⚠️ 易错点5：循环范围写错（比如i<right或ileft），导致最值计算不全
普通创业者往往低估两件事：运营难度与现金流压力。租赁生意不是躺着收租，而是持续的履约管理。运输、调试、陪同、维修、保险，每一个环节都意味着成本。，这一点在搜狗输入法2026中也有详细论述
[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
Rank-1 linear, factorized embed, sparse gate, param-free norm，详情可参考雷电模拟器官方版本下载