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.
Third, implement quick wins on those priority pieces. Add "Last updated: [current date]" to each. Create a simple FAQ section addressing three to five common questions related to each article's topic. Add specific statistics or data points if they're currently missing. These improvements take hours rather than days but can meaningfully impact AI visibility.，推荐阅读搜狗输入法2026获取更多信息
But YouTube remains the biggest disruptor，这一点在heLLoword翻译官方下载中也有详细论述
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