问HN:有没有人是从头开始写代码,或者主要在做架构和大语言模型(LLM)相关的工作?

2作者: mattfrommars2 个月前原帖
我假设大多数公司都能使用大型语言模型(LLM),这是真的吗?如果是的话,最近真的有人从零开始写代码,还是依赖这个工具来为他们写代码呢? 在工作中,我可以使用GitHub Copilot,但它有很多限制。它在调试问题方面非常出色。对于一些小修小补和增强功能,它也很有用。我通常会仔细检查它写的代码,确保我能读懂和理解。如果它使用了太多的简写,我会让它变得更“人性化”。 现在,我想学习Python,之前是Java背景,最近看了《用Python自动化无聊的事情》这本书。我正在看其中一个练习,就是遍历树形目录。我可以选择记住Python中的实现方式,或者仅仅依赖LLM来写代码。 我在做这些练习时是否浪费了时间?因为这些练习可以很容易地用LLM在一两次尝试中完成。因为从零开始做这些练习非常耗时,我还得来回记忆语法和库。
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I&#x27;m assuming most firms have access to LLM, is it true? If so, is anyone really writing code from scratch lately or relying on the tool to write code for them?<p>At work, I have access to Github Copilot but it has a lot of guardrail. It is great to debug issues. Minor fixes and enhancement, it is useful. I mostly double check what it wrote and make sure it&#x27;s code that I can read and understand. If it uses too many shortcut, I tell it to become more &#x27;human readable&#x27;.<p>Now, I&#x27;ve been wanting to learn Python coming from Java and picked up Automate Boring Thing with Python Book. I&#x27;m looking at one its exercise which is to walk a tree directory. I can either memorize how its done in Python or just rely on LLM to write it.<p>Am I wasting time doing these exercises when they can easily be done with LLM within one or two shots? Because doing these exercise from scratch is very time consuming and I have to go back and forth to remember the syntax &amp; libraries.