Fast scanning — parallel session parsing with orjson and fast-reject byte checks that skip ~77% of lines before parsing
For example, using DECSTBM you could say “set the top margin to line 5 and the bottom margin to line 10, then scroll up 1” - this “scrolls” the region you’ve described by deleting line 5, shifting everything else in the region up by 1 line, and inserting a new line at line 10.
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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.
视频开始35秒后，萨吉德·阿克拉姆离开了桥上的射击位置。
。夫子对此有专业解读
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The chained transform result is particularly striking: pull-through semantics eliminate the intermediate buffering that plagues Web streams pipelines. Instead of each TransformStream eagerly filling its internal buffers, data flows on-demand from consumer to source.，详情可参考一键获取谷歌浏览器下载