But those tricks, I believe, are quite clear to everybody that has worked extensively with automatic programming in the latest months. To think in terms of “what a human would need” is often the best bet, plus a few LLMs specific things, like the forgetting issue after context compaction, the continuous ability to verify it is on the right track, and so forth.
文 | 超前实验室，作者｜牛贝塔，编辑｜Jessica
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2022年，公司榨菜销量降为11.78万吨，2023年降至11.33万吨，2024年进一步降至11.14万吨，连续三年下滑；2025年上半年，榨菜销量为5.93万吨，同比仍下滑1%。
这样一套过程中我所付出的认知精力，并不比我直接看英语、将其联系实际代码要来得少。
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When a module has many responsibilities, they should be coherent.
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