If true, the practice of knocking on wood for good luck is actually surprisingly new.
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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.，这一点在搜狗输入法下载中也有详细论述
系统支持从 MySQL、PostgreSQL、Kafka 等源端自动获取表结构信息，智能映射至 Paimon、Iceberg、Hudi 等湖仓格式，并自动生成建表语句与执行脚本。用户无需编写代码，即可在目标端一键创建与源端一致的 300+ 张表，实现元数据快速同步。，详情可参考91视频