쉐도잉 연습: I don't like Programming - 영상으로 영어 말하기 배우기
레슨 만드는 중...
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Guys, I have a confession to make.
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I don't like programming.
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i never liked programming in fact programming.
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Now I'm being a little facetious here, but I'm going to tell you what I mean.
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And that's going to include a few themes, including are the things that we learned as programmers or the things that maybe you should learn if you're getting into it.
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Are they useless?
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Does it matter if you know what a hash map is or like a lot of those fundamental concepts and stuff?
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I also want to talk about the type of programmer that I am and a bit about my like programming career trajectory.
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how
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in some ways at least people are saying the joy of programming has been taken away from them
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and i feel like in certain ways because of the type of programmer
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that i am that maybe i've adapted a little bit differently than most people
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when i was in school in college i took an intro to c class back in 2016
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and i learned all sorts of things of course a lot of which i used in my career i learned
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learned about memory management.
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Right.
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And I don't think professionally I ever needed to do manual memory management.
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Even using a language like C++, there's smart pointers now.
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Why does anybody need to know how to manage memory?
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Maybe there's some niche areas that it's like extremely important, but most people, they're never going to need that.
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And also what about DSA, data structures and algorithms?
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I spent a lot of time doing that, learning that.
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And I enjoyed it.
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But Did I ever really use it on the job?
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I mean...
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Not really.
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I mean, the fundamentals, obviously, like hash maps, loops, like efficiency and general optimizations, but you can get that, you know, at mostly just the leak code easy level.
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You're not going to need those graph traversals on the job.
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Why would you?
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The only time I remember something like interesting coming up at Google, you know, the company.
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I'm not trying to mention that in like a bragging way.
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I'm just mentioning it because it's kind of the company that's known for like DSA interviews, right?
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And then you get in and you don't really use that.
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And I remember there was a case where Google has CLs, which is basically like pull requests, and then each CL will get like a unique number.
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And I forgot what the exact detail was, but I think it was like each CL will have like a unique ID, of course, that's auto generated.
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And then when it's actually merged in Google, they have like a mono repo.
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So every piece of every CL, every pull request is merged into the exact same repo.
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And I was asking like a question about like something about the CL number conflicts.
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I don't remember the exact details, but basically what he said was, yeah, these are monotonic, so that there won't be conflicts or issues.
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And you'll know which CL was merged before the other one.
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And when I heard that, I was like, Holy shit, did he just say?
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And this was actually like right before I left.
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And he said it and I was like monotonic increasing like hey, DSA, right?
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But for the most part, like those concepts really were not needed.
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And maybe Nowadays, We don't ever even need to know how to use Git,
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but I mean, you might still want to because it's so damn painful to watch these LLMs do it.
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And I don't know who made the judgment call to not just allow maybe like a text input or something.
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And I can just type my own damn commit message and get this done with.
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I know I can use the terminal.
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And this must be how Vim users feel watching normal people type, but I'm.
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You know, mentioning a few things and I'm not going to act like I have the answer to these things, but I'll tell you for my opinion, my very humble opinion that.
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I don't think.
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The things that I learned and the things that I worked on that I didn't directly use, I don't think they were wasted.
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I really don't.
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Because I did a lot in my life and so has everyone, right?
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What I mean by that is I did so much things in school We all learn so many things, so many subjects, so many concepts and Do we really need that?
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I mean, we all remember sitting in class thinking, "When am I ever going to need this knowledge that's right in front of me?" And many times you don't, but does it mean it's useless?
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I'm not convinced.
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Holistically, we are like people that have all this like knowledge.
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And I don't think it's worth like cutting out fundamental things.
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I think that's very like dangerous.
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It sets like a really scary precedence because, OK, maybe maybe it is useless.
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Maybe nobody needs to ever know math anymore.
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We have calculators.
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But I think learning is extremely important because it's not just about like the concrete thing.
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Okay, I learned this random framework or random tool.
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And now I got to start a different job and I have to learn a different tool now.
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everything I learned before is completely useless.
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I don't think that because of this concept that I haven't invented, but it's called like a mental model. And...
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We.. all learn a lot of mental models just from school.
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If you pay attention, for example, In math, you learn these logic rules, these rigid rules, and they're consistent.
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And they teach you how to think.
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If you take a math person who's super good at math and then you try to put them into a programming career, they excel, dude.
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Like, it's just a thing.
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I can't tell you exactly which math concept directly, you know, made them a super good programmer or not, but it's a phenomenon.
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This is a thing.
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And there's so many different mental models in the world of so many different concepts, many in the programming world,
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many in psychology, many in nature. of evolutionary biology.
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And the important thing about these mental models is they allow us to reason about things that we do not understand.
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Like in physics, there is this concept of laws of nature, Newton's laws of nature.
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They explain things.
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And when you don't have these things, you do lose something.
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I strongly believe that because I remember, I don't know about you guys, but I remember being a kid.
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I remember thinking, why does the moon go around the earth?
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It's so right?
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And of course, an adult who knows is going to look at the kid and say, oh, it's gravity.
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It's gravity.
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Gravity is just a word.
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That doesn't really explain anything.
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Newton's laws.
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Newton's laws explain it.
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An object in motion will stay in motion.
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And the beautiful thing about these mental models, is Newton's laws, they don't just explain why the moon goes around the Earth.
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It explains so many things.
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And when Einstein, you know, built, went on top of the things that Newton did,
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he had to deeply understand the mental models that Newton did, right, that he created.
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And so it turned out that certain things that Newton, Newton's, certain things about Newton's theory of gravity were wrong.
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But was it useless?
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Obviously not.
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But anyways, I could ramble about this literally all day.
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So I'll move on to the type of programmer that I am and I'm about to make
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a very offensive statement to a lot of people.
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I know that.
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And I'm going to say it.
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I was the type who got into programming for the money.
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I did.
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I got into Fang for the cash.
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I really liked math and physics, so I actually studied electrical engineering when I first started in college, but they required me to take a programming course, which I wasn't happy about,
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and it was Intro to C.
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And I really wasn't excited about it.
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I really struggled with it.
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Even just print F was really hard for me to wrap my head around.
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I don't know why I'm kind of a slow learner, but once I think a month or two into the class, you learn about variables.
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You learn about the different types.
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You learn about...
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if statements loops functions, reuse code, you learn about structs.
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And then there comes a moment where For me, something just clicked.
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I realized that, wait a minute, these small number of primitives that are very logical and very consistent,
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actually it's so few of them yet they're so extremely powerful they have the power of infinite complexity
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These small primitives can create incredible software operating systems, right?
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And That's what I loved about it.
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The same thing I loved about Newton's laws, that a small number of things can actually explain so much, that a small number of fundamentals have an incredible amount of power.
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So actually, I loved it.
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I love memory management, but then I had to get practical.
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And then when I was looking at the job market, I was like, OK, well, I got to learn web development, right?
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Got to learn JavaScript and I got to learn what an XHR is.
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And an XHR, an XML HTTP request, is named that, yet it's not necessarily an XML format.
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And it's not necessarily HTTP and it's not necessarily a request.
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It could be a response to an XHR could mean response.
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So as a person who likes logic and likes consistency.
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Oh my God, you cannot believe how much web development pissed me off.
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I hated programming.
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to an amount I cannot articulate As much as I loved C, and the primitive nature of it.
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I hated web development just as much for the opposite, for the same reasons, because it was kind of the opposite.
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Right?
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So I did get a little bit jaded.
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I I have talked about this before, but I was unemployed for like a year after I left Amazon.
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And during that year, let me tell you something.
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Let me tell you something.
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I did not do any sort of real development.
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All I did for that year was make leak code videos in Python, only Python.
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And then I was lucky enough to get into Google.
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And when I got into Google, I did not do any Python.
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and not do any TSA.
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But I also...
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did pretty well at Google.
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I got promoted within a year.
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And I think obviously the fact that I have a CS degree and I didn't cheat through that degree, I actually did learn the fundamentals and the important stuff.
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that did help me a great deal.
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And the fact that I was still thinking like a programmer doing DSA videos and also kind of communicating my thoughts.
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I think that helped me a lot.
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And then so at Google, I was a what I would call a copy paste programmer.
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And I'm embarrassed to admit it, and I know I'm not doing myself any favors.
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by admitting that.
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But I was just so lazy because a lot of the work at Google is not that interesting.
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You're not doing a lot of the fun, interesting computer science concepts that I enjoy.
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Development just looks very different.
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there and I wasn't really enthusiastic about learning all those internal tools and stuff like that, but I still did it.
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Basically, most of the code, you know how people say that with AI coding, most people aren't handwriting code anymore.
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Baby, I was not handwriting code for a long ass time.
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I mean, not literally, but for example, like, you know, back in 100 years ago when Stack Overflow was a thing,
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a lot of people were the types of programmers that they would just You know, if they had a question, they just blindly open open up.
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stack overflow, copy and paste a code snippet into their code, maybe change some variables around, and then they're good to go.
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Maybe they didn't even fully understand that piece of code.
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I did that.
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They don't have Stack Overflow, but they have their internal Mono repo, which is in code search.
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I need to use this library.
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I could go read the documentation.
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The documentation sucks ass at Google.
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Screw it.
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I'm just going to go into the code base, find somebody else who used this API, copy and paste their code, try to understand it a little bit.
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change my variables around and I'm good to go.
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And so even though I'm the type of person who likes to go deep into things,
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I like to do a small number of things and do them extremely well and extremely thoroughly and extremely deep.
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But that's not the nature of being a programmer in most jobs, including at Google.
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Because let's say, you know, you have like one document you're trying to learn about this tech that you're using, right?
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That document is going to link to like five Right.
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You could spend your whole life doing a depth first search, trying to read all those documents, and you still won't get anywhere near to completing your task.
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Right.
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So what I did.
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at that point is I'm like, as much as I want to learn all these things, I'm just going to do my job and I'm going to get my work done.
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And so rather than focusing on like the joy of programming, I focused on just trying to be good at my job.
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And I sacrificed the joy of programming in that moment just to be better at my job.
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And I, And I accomplished that.
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I was lucky enough to be promoted in a year, which I think is like top five percentile at Google from like L3 to L4.
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But I'm not going to act like it's because I'm a genius.
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I think it's just because I've made certain choices and I did have some luck as well.
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So now that we are seeing this big transition to prompting LLMs and then waiting for them to fix something,
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which they're pretty good at nowadays, you still kind of have to be a programmer, I think, to get a lot of the value out of them.
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of people it's just not as enjoyable as it was before and I think that matters.
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That definitely matters because I think joy matters a lot.
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For example, you guys know Jared from Bunn?
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He was just a chill dude.
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working on a JavaScript runtime for several years.
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Why would he do that?
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Why?
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What? Where?
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How would he possibly make money doing that?
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Right?
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But he just wanted to, and I guess he had investment and he really, really enjoyed it.
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Turns out he got a pretty big acquisition from Anthropic.
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And so it ended up paying off, right?
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And even in my own case, when I was making these DSA LeakCode videos, do you really think I thought anything would happen from them?
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Of course not.
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But I really, really enjoyed making them because like I said, I like going deep into things.
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So when I'm making that video, I'm like, I'm going to go the extra mile to make it as good as I possibly can just
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because I want to, just because it helps me sleep better at night.
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And so because of that, I think the videos were maybe a little bit better than most people's.
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And because of that, I ended up having.. a lot more success than I would have ever imagined.
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But like I said earlier, I think in some ways it can be good to maybe not enjoy programming too much.
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Because then you might, like we've all seen like the types of programmers
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that care too much about like their their code or the tools that they're using,
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like they care, like they'll do some random migration that really has pretty minimal benefits, but they just want to do it.
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They just love tech.
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They love coding so much that, you know, maybe they love it too much.
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And they focus on that more than the business.
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So I think it's, you know, I'm not here to tell you what the right answer is or anything, but I think these are interesting things that are worth considering.
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I think this transition to AI coding has been something that's in many ways, like kind of familiar to me.
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It doesn't feel that new to me because like I said, I had to make that transition so many times and I can see why it would be harder for other people who've, you know, just focused on
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Casey Muratori and he is probably had the opposite career
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that I have and so I think but I think
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that was by choice that was his choice to do that and I'll be uploading that conversation pretty soon
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if you're interested in that.
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But I could have made similar choices as him, but I just decided not to.
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In my case, I was broke.
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I needed to make money.
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I had to be pragmatic about things.
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And so that's kind of what I prioritized.
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And I think today, I'm kind of doing the same thing.
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that I kind of did at Google, which is, yeah, In some ways, like this is kind of boring.
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This is not what I like.
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I'd rather be in my underwear making leak code videos rather than at the Google office.
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eating the free food and, you know, editing config files.
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But I think you can still learn to enjoy things.
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If you choose to, In my case, for example, I got Google.
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I would think to myself like, OK, like maybe I can reframe this.
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to give myself some gratitude.
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What I mean by that is
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rather than thinking like okay this is kind of boring i made it my goal rather
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then to go super deep into these technical concepts that I found interesting.
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Instead of doing
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that, I made it my goal to go super deep in
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the direction of being what I would consider an elite engineer at Google, like what makes somebody elite at Google while just doing your work
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and solving the problems and trying to have as much of an impact as you can.
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And at the L3 level, As a junior, you want to try to be as independent as you can.
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So that's what I tried to do.
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And yeah, I didn't love editing config files, but I told myself I'm going to be somebody who can read this code.
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And I want to be proficient.
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I looked at these senior engineers around me and I see, damn, they can just, do it so much better than me.
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I want to be on their level.
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Definitely helped me.
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And so I think with this whole agentic coding, I think I've tried to have a similar mindset.
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I'm not the best agentic coder.
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I think I'm not the best coder.
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I'm not the best trad coder, traditional coder either, but I try to go deep
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and try to be the best that I can be in my own way.
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But let me know what you guys think about that, because obviously I'm just one guy and everybody's, kind of handling this transition differently.
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I do think we all have somewhat of a say in the matter.
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It's kind of like that meme where those two people are on that bus.
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If you don't embrace change, you're going to be pretty depressed because the world is always changing.
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But If you do, you can kind of see the other side of that.
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이 수업에 대해
이번 수업에서는 프로그래밍에 대한 개인적인 견해와 관련된 영어 표현을 배울 것입니다. 주제는 프로그래밍을 배우는 데 있어 중요하다고 생각하는 개념들과 그들이 실제 직장에서 얼마나 유용한지에 대한 이야기로 구성됩니다. 이 수업을 통해 프로그래밍에 대한 다양한 생각을 영어로 표현하는 방법을 연습하고, 특히 프로그래밍 용어와 관심사를 다루며 자연스러운 대화를 나눌 수 있게 될 것입니다.
핵심 어휘 및 구문
- 프로그래밍 (Programming): 컴퓨터 프로그램을 작성하는 과정.
- 메모리 관리 (Memory management): 컴퓨터의 메모리를 효율적으로 사용하는 방법.
- 데이터 구조 (Data structures): 데이터를 저장하고 조직하는 방법.
- 알고리즘 (Algorithms): 문제를 해결하기 위한 절차나 방법.
- 해시 맵 (Hash map): 데이터 쌍을 저장하는 구조로, 빠른 접근을 가능케 함.
- 효율성 (Efficiency): 자원 사용의 최적화 정도.
- 버전 관리 (Version control): 소스 코드의 변경을 관리하는 시스템.
- 쉐도잉 (Shadowing): 원어민의 발음을 따라하며 연습하는 방법.
연습 팁
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| 문형 | 영상 속 표현 |
|---|---|
| 수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점 | has been taken · is merged · was merged |
| 현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때 | has been taken · i've adapted · haven't invented |
| 관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보 | CLs, which is · person who likes · repo, which is |
쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법
쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.