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:
Minimax 推出 MaxClaw2 月 26 日，Minimax 团队发文介绍了 MiniMax Agent Expert 的功能升级，以及全新推出的 AI 助手 MaxClaw。MiniMax 在 Expert 2.0 中进一步优化了专家 Agent 的创建体验。用户不需要考虑 Skill、SubAgent、MCP 的配置，以及提示词的结构编排，只需用自然语言描述任务目标或能力需求，Agent 会根据目标完成 SOP 梳理、工具编排与能力配置。
，更多细节参见51吃瓜
era of business computing. Banks didn't miss out.
В России ответили на имитирующие высадку на Украине учения НАТО18:04
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