企业官网建设流程全解析

提前祝大家5.1快乐，在ai爆发的这几年，我们程序员群体都经历来自ai的冲击，天天受到无数ai相关的咨询，无限焦虑，有迷惘也有彷徨，我也一样， 无数次想要关掉那些充满焦虑感的文章，但是下一次都忍不住又要打开看看是否有不同的观点。从也尝试着从这些文章当中总结一下当下焦虑的源泉以及如何走出焦虑，提出一下我自己的观点，与君共勉

程序员最喜欢确定性

程序员其实很喜欢和机器沟通，因为机器讲规矩。你输入：print('hello world')，控制台就输出：hello world

不会突然给你来一句：hello world，顺便我觉得你今天状态不错，也不会根据心情，把输出改成：Hello, my friend!

更不会因为你上一次问过它一个 Kubernetes 的问题，这一次就顺手把hello world扩展成一篇微服务架构设计

传统计算机系统最大的特点就是确定性。同样的输入，在同样的环境、同样的代码、同样的依赖版本下，理论上应该得到同样的输出，如果结果不一样，我们通常可以从这些地方找原因：代码变了、配置变了、环境变了...总之，它一定有原因，而且这个原因通常可以被定位、复现、解释和修复

这就是程序员喜欢的世界。虽然它有时候很冷冰冰，但它讲逻辑，有确定流程。少一个括号，它告诉你语法错误。变量名拼错，它告诉你未定义。类型不匹配，它告诉你不能这么干。接口参数传错，它给你一个 400。数据库字段不存在，它给你一个 SQL 报错。虽然这些报错有时候看起来很烦，但它至少在告 诉你：老哥，你这里错了。这对程序员来说非常重要。因为报错本质上是一种边界反馈。它告诉你哪里不合法，哪里不符合规则，哪里没有按系统预期来

ai并不确定，甚至会胡说

没有异常捕捉。没有标准错误码。没有严格的 schema 校验。甚至很多时候，问题已经发生了，但你还不知道问题发生在哪。而现在我们面对 AI，很多不 适感就来自这里。AI 看起来像机器，但它的交互方式更像人

AI 对程序员这一职业带来的深层冲击，并不是简单的“它能写代码”。真正的冲击是：我们从确定性系统，开始进入概率性交互。

• 过去我们使用工具，是这样的：

  输入固定命令 → 系统执行 → 返回确定结果 → 根据报错修正

• 现在我们使用 AI，很多时候变成了这样：

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