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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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Individual gameplay features are implemented as API calls from the Unreal game client to our backend with the actual logic living exclusively in the C# microservice codebase. The service receives a request to perform a particular action on a specific player’s inventory. The service fetches the inventory from the Azure Cosmos database, confirms that the requested action is valid, modifies the inventory appropriately, persists the updated inventory back to the database, and returns a response to the game client that includes a list of all item changes as well as any other side effects that may have occurred from the action.
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第一百零七条 为了查明案情，人民警察可以让违反治安管理行为人、被侵害人和其他证人对与违反治安管理行为有关的场所、物品进行辨认，也可以让被侵害人、其他证人对违反治安管理行为人进行辨认，或者让违反治安管理行为人对其他违反治安管理行为人进行辨认。