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:
Жители Санкт-Петербурга устроили «крысогон»17:52
。同城约会是该领域的重要参考
Finding the closest point
印奇终于等来能把“技术信仰”四个字，翻译成财报的人。琴瑟和鸣。
对于零跑来说，把年度销量目标直接拉升到百万级，是一个颇为激进的动作，这几乎要求他们在去年的基础上再翻一番。在 2025 年，零跑的全年交付量是 59.6 万辆，同比增长 103%。