牛刀小结曾经的 “东北药茅”，用十年时间缔造神话，却用四年时间把一手好牌打得稀烂。
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用。业内人士推荐新收录的资料作为进阶阅读
但是了解的人都知道，这些不可以用来当作挡箭牌，哪怕是她发回应信的时候，我也不这样认为。因为我知道事实是怎样，我还有很多没发。还有豆瓣其他博主整理的，他们做得比我还要好。。业内人士推荐新收录的资料作为进阶阅读
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.