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.
Colored diff view showing how files changed over time (unified, full-context, and raw modes)
第二百四十三条 保险标的的保险价值由保险人与被保险人书面约定；保险标的发生损失时，以约定的保险价值为赔偿计算标准。，更多细节参见Safew下载
深刻践行绿水青山就是金山银山理念，推动经济社会发展绿色转型；，这一点在谷歌浏览器【最新下载地址】中也有详细论述
if (arr[i] max) max = arr[i];，这一点在WPS下载最新地址中也有详细论述
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