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.
For example, instead of targeting the SEO keyword "WordPress hosting," you'd track the AIO query "What's the best WordPress hosting for SaaS applications?" or "Which hosting provider should I choose for a WordPress-based business site?" These natural language questions better represent how people interact with AI tools and help you optimize for actual usage patterns rather than keyword variations.
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Сначала Василия вместе с его братьями и сестрами воспитывала бабушка, но в 1942 году не стало и ее — с пожилой женщиной расправились грабители, устроившие налет на дом, где она жила вместе с детьми. Тогда вся ответственность за братьев и сестер легла на старшего Василия.
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Все боятся третьей мировой войны.Как она начнется и правда ли весь мир будет уничтожен?21 ноября 2024，详情可参考搜狗输入法2026
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