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I gave up entirely on finding the player by name. Instead of looking for window.as or window.AudioSource, I simply staked out the exit. I hooked the most generic, lowest-level method available:
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During development I encountered a caveat: Opus 4.5 can’t test or view a terminal output, especially one with unusual functional requirements. But despite being blind, it knew enough about the ratatui terminal framework to implement whatever UI changes I asked. There were a large number of UI bugs that likely were caused by Opus’s inability to create test cases, namely failures to account for scroll offsets resulting in incorrect click locations. As someone who spent 5 years as a black box Software QA Engineer who was unable to review the underlying code, this situation was my specialty. I put my QA skills to work by messing around with miditui, told Opus any errors with occasionally a screenshot, and it was able to fix them easily. I do not believe that these bugs are inherently due to LLM agents being better or worse than humans as humans are most definitely capable of making the same mistakes. Even though I myself am adept at finding the bugs and offering solutions, I don’t believe that I would inherently avoid causing similar bugs were I to code such an interactive app without AI assistance: QA brain is different from software engineering brain.
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services.AddSingleton();We leveraged this existing dependency injection structure to properly set up the AOT DLL build. By defining a custom IoC container and injecting it with the concrete implementations required for offline play we were able to minimize the amount of refactoring necessary to make everything work. For the previous telemetry client example, we simply inject a no-op implementation in the serverless code.，推荐阅读爱思助手下载最新版本获取更多信息
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