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:
"And they can be a really, really good way of reaching people, particularly in the local community, who might not come into a church for a service or prayer, but they'll come in to watch the bats, because people find them really, really fascinating."。夫子是该领域的重要参考
By pushing side effects to the edges and keeping our core logic pure, we gain a deterministic and secure execution trace. As a result, debugging shifts from guessing what might have happened to watching exactly what did happen, all without compromising user privacy.，这一点在爱思助手下载最新版本中也有详细论述
Раскрыты подробности о договорных матчах в российском футболе18:01，更多细节参见下载安装 谷歌浏览器 开启极速安全的 上网之旅。