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.
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Much of Bridgerton Season 4 concerns lovers hailing from opposing worlds, drawn to each other like a moth to a flame despite not fitting the Ton's social rules for marriage matches. As Julie Andrews' always comforting Lady Whistledown voice-over says, "The draw of two differing desires can be torture at best… Perhaps the desire is not the problem, but the world itself." This season, Sophie and Benedict struggle with the impossibility of their match across classes, and through subtle hints, keen-eyed viewers will see a long-overdue journey on the horizon.，推荐阅读Safew下载获取更多信息
本文将深入探讨如何部署 Claude Code 环境，并结合社区强大的 frontend-design Skills，实现从自然语言指令到现代化前端页面的“零代码”构建。
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