I thought I'd be coding for 8 hours straight. Realistically, I get 4 hours a day of coding, 1 hour for lunch, 1 for coffee breaks, and 2 for screwing around / chit chatting/ stack over and under flowing. Prior to working, I thought that all clients would be idiots and don't know two craps about computers. Boy was I wrong on that one. Sometimes, we get projects by people who can do it better than we can, they just don't have the time to do it. I thought cubicles were bad, Right now I love them :D I actually moved from a door-ed office to a cubicle. I like the openness. All programmers are not athletic. I thought that I was the only one that goes to the gym. Where I work, at least 10 of us go to the gym every day at 5 am. I thought there would be no women programmers. A couple of our leads are ladies.

编程语言==编译器/解释器 编程语言== IDE 编程语言==标准库

如果我有一个像ML或Haskell中那样强大的静态类型系统，我应该使用它来编码尽可能多的不变量。只有有了经验，我才知道有时最好让不变量是动态的。

作为一名老的过程式程序员，当我第一次开始为一个业余项目用Java编程时，我并不真正理解OO。编写了大量的代码，却没有真正理解接口的意义，试图通过将所有东西都强制放到继承层次结构中来最大化代码重用——当一个层次结构无法容纳清理时，希望Java具有多重继承。我的代码成功了，但我现在对早期的东西感到畏缩。

When I started reading about dynamic languages and trying to figure out a good one to learn, reading about Python's significant whitespace turned me off - I was convinced that I would hate that. But when I eventually learned Python, it became something I really like. We generally make the effort in whatever language to have consistent indent levels, but get nothing for it in return (other than the visual readability). In Python, I found that I wasn't doing any more effort than I had before with regard to indent levels, and Python handled what I'd been having to use braces or whatever for in other languages. It makes Python feel cleaner to me now.

我以为静态输入就是你一动不动地坐在键盘前。

我曾经认为应用程序的大部分工作实际上是编程。我相信这在某些情况下是正确的，但根据我的经验，我花了更多的时间来研究、记录、讨论和分析，而不是实际编码。(我从事的是操作基于激光的传感器的软件，确定如何最好地控制硬件比编写代码更具挑战性。)

我也曾经认为，程序员可以回头问旁边的人问题的开放环境是程序员团队敲定解决方案的最佳环境。事实证明，不管有没有团队，一个黑暗孤独的房间效率更高。

当我毕业时，我认为专业编程就像在大学编程一样，这意味着我将得到输入和预期输出，并被要求填写进行转换的黑框。在现实中，我必须弄清楚输入，输出和黑盒。

我过去并不认为市场和销售人员是人类的祸害，太天真了。