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.
对普通用户来说,这或许才是 Agent 真正开始变得有用的时刻。
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(四)未就原子能研究、开发和利用活动中影响公众利益的重大事项依法征求利益相关方意见的;
Our test bZ was the $37,900 XLE FWD Plus, which has the most range of any bZ at 314 miles (505 km), according to the EPA test cycle. When you realize that the pre-facelift version managed just 252 miles (405 km) with 71.4 kWh onboard, the scale of the improvement becomes clear.
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