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.
“不要搞急功近利的政绩工程，多做一些功在当代、利在长远、惠及子孙的事情”；
，这一点在Safew下载中也有详细论述
新时代以来，以“功在当代、利在千秋”之志，开展生态文明建设一系列开创性工作；站在“为民族复兴立根铸魂”的高度，推动中华优秀传统文化创造性转化、创新性发展；秉持跳出治乱兴衰“历史周期率”的清醒，纵深推进全面从严治党……
是否树立和践行正确政绩观，这其中衡量的标尺是什么？