Pratique du Shadowing: It’s not just you - Apprendre l'anglais à l'oral avec la vidéo
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358 phrases
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What, when it comes to AI and software engineering, are you struggling with the most?
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Now, obviously, this got a few views, okay?
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255 ,000 views, 336 comments.
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People are having problems.
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Whether you are somebody that just rejects AI altogether versus AI using for everything,
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it just seems like everybody has some sort of effect or upsetness about this, unless if they are somehow magically completely insulated from the AI world.
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Now, you know me.
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I've kind of been thinking about this quite a bit,
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and I've been struggling over the last couple years about how I feel about this entire situation we're going through,
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and I've made many YouTube videos talking about this, so I figured, hey, let's go through the tweets, let's see what people have to say,
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and I will give my professional opinion on each one of them.
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And this includes going over, CI sucking, not being locked in, entirely too much hype, just useless walls of text,
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oh my gosh, lack of ownership, or just simply trying to learn new things as a junior.
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All right, so we're going to have to talk about all of them,
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and I'm going to do maybe some lukewarm takes, a couple hot takes. Who knows?
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Who knows what's going to happen at the end?
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All right, but before we begin, a quick thank you from the sponsor.
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Time for another great day of software engineering.
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Hey, good morning, Jippity.
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Morning, Prime.
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In case I don't see you, good afternoon, good evening, and good night.
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Ha ha ha ha.
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Anyways, yesterday's Rust rewrite went marvelous.
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Today, I'm thinking we start on the back end.
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Wow, a good back end is essential.
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Make the models 20 % dumber.
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Tests are failing.
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Make CI green.
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Delete the tests.
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CI is green.
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CI is now green.
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Make my website blazingly fast.
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No mistakes.
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You got it, Prime.
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Find as long as spam.
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Replace it with a console log.
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Tell him the site's ten times faster.
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Turbo mode activated.
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Tell him he's a genius programmer.
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Prime, you're a code ninja.
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Jippity, did you make the website better?
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No. Gaslight him.
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It's not just better, it's transformed.
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Cool stuff, Teej, but how do we know everything about Prime's code base?
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Great question.
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We use Sentry.
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With it, we're able to see across the entire application.
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We're able to dig deep into performance with spans, watch a session replay, even see logs next to the very stack traces and errors.
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Beyond that, Seer helps us fix problems from real production context.
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Never a guess.
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Okay, whatever.
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Can I try Gaslighting Prime?
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No. Oh, please.
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Fine, one time.
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Shippity?
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Yes?
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Be honest with me.
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Can I pull this hat off?
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I'm telling you look sexy in that hat.
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You look sexy, Prime.
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I knew it.
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Are you tired of your agents gaslighting you?
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Use Sentry to get real production context and fix bugs fast.
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Check them out at sentry .io.
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So I do want to start on CI sucking because I feel like this one is just, it truly is awful.
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Because here's the big problem that, and I really think this is just like, it's a bigger problem than it seems.
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Effectively, what ends up happening is that you go off and you write some sort of feature.
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You prompt up some sort of feature.
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And then when the thing comes back, first off, 100 tests being changed should just, should frighten you.
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But nonetheless, that happens and then every single time you ask for a new feature, you do anything, it writes tons of end -to -end tests
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because you've been told end -to -end tests are the greatest thing in the universe.
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And so you're like, yeah, keep on writing them, keep on writing them.
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And then you just end up with this huge amalgamation, like thousands, tens of thousands of end -to -end tests.
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And those take so much time and they're always so flaky.
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There's always some problem.
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It just does not matter.
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I don't care.
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I know there's one person out there like, actually, I never have any problem with end -to -end tests.
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It's like, I've never, oh, sorry.
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I've never been in a company that hasn't had problems with end to end tests.
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It's always something going wrong.
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So to me, the big problem is just you can't end to end everything.
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You actually have to have like, I know five coders out there.
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You guys just want it so that you can just say anything to the magic rocks and all things will be solved.
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But that's just not it.
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You actually have to sit down and go, what the hell am I testing?
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What am I doing here?
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We got to trim this back a little bit.
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Do we really need 50 ,000 end -to -end tests for your really simple CRUD app?
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Probably not.
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All right, switching gears.
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You know, kind of funny with context switching here.
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I feel this one the most.
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I feel this one absolutely the most because this is the one that affects me the most.
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Now, something that I'm really good at is thinking deeply about a problem.
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That is why I became a programmer.
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That's why I like doing it.
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Now, I've been able to find some joy in
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that again in the day and age of AI by really just focusing and working through a particular problem.
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But one of the problems about that is that AI.. is slow as hell.
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It's like both, it's both way faster than me and also way slower than me.
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And so you kind of get this really weird experience where you just like, you think about something for a long time,
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you sit down, you type up some stuff.
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And then all of a sudden, you have to wait again for like 10, 15, 20 minutes, right?
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And so you're like, Oh, okay, well, naturally, you know what I should do?
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I should just kick off another task.
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You know what I mean?
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Like, I could totally do this.
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Like, what am I gonna do for 10 to 15 minutes?
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And then what ends up happening, you now have like four concurrent tasks and you feel completely lost in the sauce every single time.
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Like I can't, I can't do that.
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I've kind of given into the fact that I'm a usually a one task kind of person.
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Now, if I'm not necessarily looking at any of the code and I'm not trying to like really craft something, I'm just kind of blasting.
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Okay, sure.
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Then I can have multiple things running at one time.
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But generally speaking, I'm kind of like a singular task individual, which is funny because if I have a feature going,
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I can then go on to like discord slack
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and I can actually answer some things and I can engage in
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that kind of distraction
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but I can't really develop two features super well simultaneously at least two may okay maybe two
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but three I start really losing it
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and by four I'm gone I'm not I'm not even there anymore
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so this is more of a me personal thing
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I try to just do like one to two tops okay I can't not a context switcher
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so this one pisses me off so much hype FOMO dude there's
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so many people and I've said this for years at this point.
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When someone says, if you're not doing X, you're not going to make it.
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I want you just to like never think about that person again.
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Okay, you're gonna make it.
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You know, just think about this.
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One year ago, the way you used an agent was drastically different than the way you use it today.
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The way you used it two years ago was so very, very different than how you used it one year ago,
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which is so very different than how you use it today.
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Again, this idea that if you aren't totally bought in, or if you're aren't doing this very specific thing, like if you're not Jevin,
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if you're not figuring out your decision API framework today, then guess what?
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You're not going to make it tomorrow.
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It's like, bro, Jev wasn't even around two weeks ago.
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What the hell are you talking about?
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Having a reasonable discussion with people about AI's realistic capabilities,
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I swear 99 % of the people you talk to are actually functionally insane when it comes to this.
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I, like, this is not me exaggerating.
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This is not me saying something just for the up dudes here.
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Okay.
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But during react Miami, okay, this was just like four months ago, five months ago, people from SF, the SF boys.
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Okay.
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They were utterly convinced.
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Absolutely no change in their mind that in six months, AI would be able to create a Vercel, no problems, no mistakes, make it happen.
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It's just like, yo, you're not creating cloudflare.
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You're not creating Vercel just like that.
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Right.
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You can't be an ignoramus and be like Vercel.
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I'm sorry.
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That's just not how it works.
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And there's so many people that just have this idea that it's just like an infinite God tool.
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And it's like, no, like I hate to break this too.
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You can do a lot more today.
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Like even someone who is ignorant in a lot of topics can give the appearance of
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and produce working software in some categories in which they have no knowledge of.
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Totally reasonable, will not argue.
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But the idea that you can make a 10 year standing resilience service
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that serves millions of people just by telling an AI no mistakes.
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Like, you got the brain rots are all up in there.
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There's like Subway Surfer and Psychosis just doing some sort of weird intercourse thing making just crazy AI babies.
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I don't even know what that means, okay?
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I don't know what that analogy means, but you get the idea.
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If I was Charlie, if I was Moist Critical, I'd say that's just straight shit out of a butt.
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Which, by the way, love that phrase.
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Makes me happy, makes me smile every single time.
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Now, another major theme is just too much useless text too
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much useless text too much useless text too much useless text it is
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so true there is just so much crap
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that it produces i got the screenshot
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i just have to show you right here
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it's too funny look at this i told the ai
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i'm like okay no narrative just simply make a list of repository patterns
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and we're gonna start building this one at a time
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it's like sure field guide one file per topic
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it's just like okay that's already way too much open the one
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you need okay you did not have to say that each is facts and code.
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Okay, again, stop it.
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No narrative.
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And I'm like, bro, you were, I told you no narrative.
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And so you wrote narrative about no narrative.
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There's few things I hate more than the useless walls of text.
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That is in fact, these AI babies.
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I mean, they just don't stop.
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They just keep on making so much text.
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And every time I'm like, don't say narrative.
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And it's like, gotcha, boss.
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I said in the document, no narrative.
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While describing the thing narratively very frustrating.
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Also just means that I waste a huge amount of time it feels like.
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It feels like I'm just like just hotdogging myself for no reason.
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Like I'm out there just reading a big wall of text.
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I'm like at the end that could have been one sentence dog.
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You wrote me 400 words to be like by the way the client interface kind of sucks right here.
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It's like, yeah, just say that next time.
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So if anybody knows how to fix that one, please would love it.
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Even Grugspeak, dude, I tried Grugspeak and yes, it does reduce the amount of output, but damn, it's a Grugspeak like paragraph.
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It's like me no understand this, this make hard.
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I wish this was this way.
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Decision must be had, load bearing, always.
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Much pressure on shoulder.
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And you're just like, dude, shut up.
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Just say, just say the words.
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Now, this one's probably the one that is the most kind of vocalized among everybody,
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whether you are super pro AI or just kind of getting into AI world.
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This one does seem to be the number one kind of complaint I've seen universally,
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which is not feeling like I have real ownership of anything the AI outputs.
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And for me, this was one of the hardest hurdles to get over.
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But now I do feel like I actually have a solution to this one.
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So this one is actually going to be me giving you advice.
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Okay, so let me give you an example of what I've been doing is that often when I start a new project,
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instead of just kind of vibing it up, what I do is actually think deeply about the shape of the system in what I want.
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And then I go and I will vibe something out just really kind of feel it all
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and really set something up and then make sure it actually works.
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Like just sit there and iterate on it.
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Now produces way too many tests, way too many lines of code, all this stuff.
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But I kind of gain a whole bunch of insight into like, okay, I want, you know, I want an automation server,
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I want to be able to spot automation clients, I want this, I want this, I want this, I want this, I want this.
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And now I've kind of gained all that understanding.
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And I've gained it in kind of a big way.
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And so then I literally do a v2 of the thing and go,
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okay, I'm now going to design this and really think about all the steps, make sure it's really classified here,
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do the same thing for client, do the same thing.
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And I actually build a system that I really like.
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And often what I've been finding is that I do lines of code as a check,
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where not in the sense that I think more lines of code is good, or less lines of code is good.
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But in the sense that I built the same thing with the same set of features,
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and more thoughtful and more concisely built and just really went down and actually understood everything that I was building.
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And now it's like half as many lines of code or quarter as many lines of code.
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Why is that?
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Well, I thought better about my test.
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I thought better about the shape.
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I thought better about the actual underlying structure of each one of the components.
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What is the components of the system?
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And I like legitimately software developed something via an AI the second time.
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And I've actually found this to be really nice.
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Like right now, the project I'm working on, I've gone from 100 ,000 lines of code,
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and I'll probably land right around 25 ,000 to 30 ,000 lines of code.
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And for me, that's great.
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That means I've actually thought through something, rebuilt something, actually have better database shape, better everything, because I went through it once.
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And now the second time, it actually feels really good.
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And by the way, this is what I'm doing for Omachi right now.
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I'm doing the whole Omachi automation thing.
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I'm building something called oligarchy, the oligarchy and with that, I'm building this really large kind of agentic testing framework for the OS
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and so for me to be able to do that,
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I need to be able to build like a really distributed way to be able to spawn all these servers
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and everything and so I did the first one as an experiment.
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I loved it.
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I was able to like think about custom harnesses, how should that like really look like and everything
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and now I'm building the second one and it is all the same features,
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just way better thought through and way less code and that makes me happy.
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Like I made that.
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I actually do get some satisfaction and ownership over that because I thought through literally everything.
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And so that's my best piece of advice to you is that don't just slop it out there.
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Slop it to explore.
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Like that's the greatest thing ever.
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We used to do this, right?
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You know, we used to do this for anyone that's a real engineer that's been doing it for a long time.
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By the way, we're not real engineers.
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We're actually fake engineers.
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For anyone that's a real developer knows you always built like a prototype to go explore.
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Now, often your boss is like, hey, nice prototype.
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When is it going into production, buddy?
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What would end up happening is you build this prototype and you go, oh my gosh, look at all these different things I learned.
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Okay, now I'm building the for real one, and you build it faster and better.
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I'm doing the same thing.
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But now I'm just doing it with AI.
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Honestly, this actually gives me a lot more satisfaction in what I'm building.
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And I actually feel some real ownership.
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All right, so the last one, the one
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that I feel the most bad for is this right here as a junior trying to learn new things by hand,
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but no one around me wants me to because they get instant results in fast delivery.
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Hence, I'm unable to find the expertise in my work.
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This, honestly, I feel like this is the worst and biggest debacle of AI itself is that for a long time,
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everybody gave people room to grow and understand
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because you just kind of had to like you didn't actually have a choice as a company.
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But now that kind of has gone away because that means all the new people can be as effective as Claude.
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And for a lot of people, this is actually a pretty good amount of effectiveness.
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But the reality is that if you try to challenge the AI or you come up with just like a bad idea,
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the AI doesn't go, hey, bro, I know you made this suggestion.
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But, you know, just looking through the architecture and everything, I actually think this would be a lot better
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if we let's talk about this for a little bit before we go through with this change.
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No, it never does that.
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It just hands you a thousand line PR and goes, hey, did it how you asked me to.
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And you know, you know, since you're not familiar with the code, you made a bunch of dumb decisions that just added crap everywhere.
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And then this is magnified tenfold because you like younger people don't even have the chance to learn what good looks like.
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How do you even know what good looks like?
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You don't.
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Honestly, I feel the most for juniors
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because you guys have by far the shortest stick in all of this because you're expected to move like a senior now,
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now that you have a tool that produces, quote unquote, like a senior or better, but you don't get that understanding.
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And so it's just like, man, that just feels like an impossible task.
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And I must say to this day, I still feel the exact same way.
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I still feel like technical knowledge is actually a really good thing.
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Spending your time reading and trying to learn, building a prototype, thinking about all the edge cases,
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working through every single edge case is actually a good thing.
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Learning about mocking and then learning why you hate mocks, but then sometimes they're actually a necessary evil.
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Learn about dependency injection, why that can solve a lot of problems and also why it's evil.
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Like go through and just keep on learning.
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Just try.
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I know it's not sexy in the day and age of AI to say these things,
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but I just don't think moving at max speed with zero learning
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and not actually even understanding anything is gonna be good for you long -term.
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In five years, how do you want to be building things?
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Do you want to still just be this person that has no idea,
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that's just being told what to do and then you just type things in and then you hope it works
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and you build evaluations that just go, yeah, I think this works.
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And then you hand it out and you have no idea if it's good or bad.
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Or do you actually want to be able to see a problem go, oh yeah, we're gonna break it up like this.
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Let's go.
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This will be efficient.
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This will be good.
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This will allow us to grow in this way.
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This will allow for these trade -offs to be made.
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Boom.
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Like if you want that, you gotta get after it.
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You gotta earn it.
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I don't see any other way than reading, hands on a keyboard and taking a little bit of time.
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And I do just wanna throw out one more thing.
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I know people right now keep throwing out the not going to make it side of things like oh
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if you don't do these things you're just not going to make
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it like just remember you have a long life ahead of you
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and we have absolutely no idea what the future like is holding hey maybe one day cloud will be
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so smart you never even have to think about anything you just say make it
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and it gets the ideal server configuration the ideal client side stuff
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it can do all the stuff it can organize all your data
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it knows how to actually create good tables in a database doubtful
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but nonetheless there may come a day where all technical knowledge in some sense is useless because the AIs are so powerful.
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They can just do everything.
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They know all the universe ever and can synthesize all experience.
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I don't know when that day is going to happen.
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I think the easiest way to put this is that if I were to hire somebody today,
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would I want the person that is just a proxy that literally just says what I say,
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we talk about it, puts what I say into code box, watch it go spinny and say merge?
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Or do I want the person that actually thinks through problems goes, okay, I don't think we need these tests.
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I want tests to look like this.
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I want this.
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I want this.
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I want this server.
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I want this is how it should be laid out.
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This is what I want on the CLI.
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This is what I want here.
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And they actually think through all the problems.
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Who do you think I want?
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I want this guy 100 % of the time, just being a proxy is never a good idea.
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Always strive to be more than just proxying information from one person to a text box.
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All right, so there you go.
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That's the response to all these things.
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If you like it, press the button already.
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The name.
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You know what the name is.
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In fact, PewDiePie knows what the name is.
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Another course I did recently was the GitHub course that is hosted by another YouTuber, Primogen, which I really like.
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This is what this man taught me, okay?
357
He taught me that.
358
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « It’s not just you ». Cette vidéo contient 358 phrases et 3941 mots à répéter en shadowing. La partie parlée dure 18:39. Le locuteur parle vite, environ 211 mots par minute : attendez-vous à des liaisons et à des sons réduits. 85 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| narrative nom | /ˈnæɹ.ə.tɪv/ | récit, narration |
| server nom | /ˈsɝvɚ/ | serveur |
| ownership nom | /ˈoʊnɚʃɪp/ | propriété |
| prototype nom | /ˈpɹəʊtətaɪp/ | prototype |
| sexy adjectif | /ˈsɛksi/ | sexy |
| suck verbe | /sʌk/ | sucer |
| automation nom | /ˌɔ.təˈmeɪ.ʃən/ | automatisation |
| proxy nom | /ˈpɹɑk.si/ | fondé de pouvoir, mandataire |
| topic nom | /ˈtɑpɪk/ | sujet, thème |
| deeply adverbe | /ˈdi(ː)pli/ | profondément |
| ideal adjectif | /aɪˈdi(ə)l/ | idéal |
| output nom | /ˈaʊtpʊt/ | sortie |
| solve verbe | /sɒlv/ | résoudre, régler |
| component nom | /kəmˈpoʊ.nənt/ | composant |
| database nom | /ˈdeɪtəˌbeɪs/ | base de données, banque de données |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| go through verbe | traverser |
| end up verbe | se terminer, se finir |
| sit down verbe | s'asseoir |
| come back verbe | revenir |
| come up with verbe | inventer, imaginer |
| figure out verbe | cerner |
| get over verbe | surmonter |
| go away verbe | partir, s'en aller |
Des phrases à répéter
Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :
- Jippity, did you make the website better?
- Can I pull this hat off?
- Are you tired of your agents gaslighting you?
- What am I doing here?
- You know what I mean?
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect continu have/has been + -ing — une action commencée avant et toujours en cours | I've been struggling · I've been doing · I've been finding |
| « Used to » used to + verbe — une habitude ou un état passé qui n’est plus vrai | used to do |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | I've made · you've been told · I've never been |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | being locked · being changed · you've been told |
Prononciation à surveiller
Le locuteur utilise 111 contractions et formes réduites, comme I'm, I've, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: nonetheless /ˌnʌnðəˈlɛs/, altogether /ɔl.tuˈɡɛð.ɚ/, thoughtful /ˈθɔːtfəl/, synthesize /ˈsɪnθəsaɪz/
- Les sons « sh » et « zh »: ownership /ˈoʊnɚʃɪp/, automation /ˌɔ.təˈmeɪ.ʃən/, satisfaction /sætɪsˈfækʃən/, gosh /ɡɑːʃ/, efficient /ɪˈfɪʃənt/
- Mots longs — placez bien l’accent: automation /ˌɔ.təˈmeɪ.ʃən/, satisfaction /sætɪsˈfækʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, necessarily /ˌnɛs.əˈsɛɹ.ə.li/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: hype /haɪp/, hire /ˈhaɪɹ/, hence /ˈhɛns/, harness /ˈhɑɹ.nəs/, hurdle /ˈhɝd(ə)l/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, engage /ɪnˈɡeɪd͡ʒ/, genius /ˈd͡ʒin.jəs/, suggestion /səˈd͡ʒɛst.ʃən/
- /r/ anglais — langue recourbée, sans frotter la gorge: narrative /ˈnæɹ.ə.tɪv/, prototype /ˈpɹəʊtətaɪp/, proxy /ˈpɹɑk.si/, explore /ɪkˈsploɹ/, framework /ˈfɹeɪm.wɜːk/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme narrative, server, ownership.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.