I write this as a practitioner, not as a critic. After more than 10 years of professional dev work, I’ve spent the past 6 months integrating LLMs into my daily workflow across multiple projects. LLMs have made it possible for anyone with curiosity and ingenuity to bring their ideas to life quickly, and I really like that! But the number of screenshots of silently wrong output, confidently broken logic, and correct-looking code that fails under scrutiny I have amassed on my disk shows that things are not always as they seem. My conclusion is that LLMs work best when the user defines their acceptance criteria before the first line of code is generated.
京东昨日发布 2025 年第四季度及全年业绩报告。，详情可参考新收录的资料
。新收录的资料对此有专业解读
这个时候，直接回到 MaxClaw，把遇到的问题统统发给它，跟着它的提示走，基本上都能解决。
Капитан СКА Плотников провел 1000-й матч в КХЛ20:07，详情可参考新收录的资料
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