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:
优点：计算简单，导数恒为1（正区间），缓解梯度消失。业内人士推荐heLLoword翻译官方下载作为进阶阅读
📦 特点：完整可运行代码 + 逐行注释 + 复杂度分析。业内人士推荐heLLoword翻译官方下载作为进阶阅读
def __init__(self, csv_path: str):，推荐阅读Line官方版本下载获取更多信息
全量同步完成后，系统自动对齐启动点位（Checkpoint），开启基于 Binlog 或 Kafka 消息流的增量同步任务，实现实时数据追加。支持动态扩缩容与资源调度，适应业务高峰期负载变化，保障低延迟、高可用的数据同步链路。