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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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This streamlines the most common patterns for loading and instantiating WebAssembly modules. However, while this mitigates the initial difficulty, we quickly run into the real problem.
直播中，小米安全专家详细拆解了事故调查的完整流程：一起交通事故或火灾事故发生后，交警、消防部门会首先封闭现场、封存车辆，随后调取各类相关数据和信息，完成现场勘查后，将召集专家进行分析研判，部分复杂事故还需经过鉴定实验，最终才能得出技术结论，这一过程需要一定时间，无法快速完成。