쉐도잉 연습: GitHub Copilot now controls your command line... - 영상으로 영어 말하기 배우기

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One of the most impressive things a programmer can do in

life is type out a bunch of incoherent text into the terminal, hit enter, then make something cool happen.

Maybe this command is just searching for a text pattern in some files, or maybe it's about to take down the nation's entire power grid.

If you're not a good enough hacker to tell the difference, I've got some good news for you.

GitHub Copilot for the CLI just became generally available and turns anyone into a bash boss, command line cowboy, or some other AI-generated nickname.

By the end of today's video, you'll be able to generate and understand any type of CLI command you could imagine.

Never again will you be stuck in front of your computer for weeks just trying to exit Vim.

To get started, you'll first need to have the GitHub CLI installed on your system.

If you don't already have it, it's a tool that's linked to your GitHub account and allows you to basically manage everything from the CLI, like your GitHub repos, pull requests,

etc. And as of yesterday, it also supports Copilot from the CLI.

If you're paying for Copilot as a personal user, you automatically have access to it, or if your boss pays for it, you might need to enable it for enterprise.

The Copilot CLI only has two useful commands.

Explain, which will take a command and then explain what it does, and Suggest, which as the name suggests, will try to create a command based on your instructions.

Now, before we go any further, one thing I want to point out is that you can also create aliases for these commands, which I would highly recommend doing in real life,

because it becomes really annoying to type out copilot suggest every time you want to use it.

But in this video, I'm not going to use the aliases just to keep the on-screen code really clear.

Let's assume I know nothing about computers, and I just want to use the terminal to create a new directory.

We can use the copilot suggest command and ask it to create a new directory for our source code.

That'll give us the option to choose between a git command, a github cli command, or in our case what we want is a generic shell command.

That'll print out a command in yellow, which we can now run.

It's the make dir command, which you might have guessed, but if you want a more in-depth explanation, you can have Copilot explain it step by step.

In addition, I don't like the name it chose for the directory, so I can have it revise that command by providing a secondary shot

or prompt that I can use to revise the original response.

By default, it will copy the command to your clipboard so you can then paste it in yourself, but you can also configure it to run the command automatically.

When we run it, it then creates that source directory, and we're good to go.

But now we also want a JavaScript HTML and CSS file in that directory, so let's go ahead and ask it to generate those as well.

And as you might imagine, it uses the touch command to do that.

Now let's find out

if it's a good HTML programmer by asking it to write a hello world in the index HTML file.

When we execute this command, it looks pretty good at first glance, but then when I try to run it, I get this error where Bash is having a problem with the bang.

That's because it's not properly escaped from the HTML string, which I would think a sophisticated AI would be able to catch, but apparently not.

It's pretty stupid on my part to be doing HTML programming from the CLI anyway, so let's just go into the index.html file, use an exclamation mark for the Emmet abbreviation,

hit tab, and generate our hello world that way.

By the way, if you want to get better at using tools like VS Code as well as Git and GitHub, I have courses for both of those topics on Fireship.io,

which you can access as a pro member or individually for $10.

And next week I'll have a new Stripe payments course out if you're interested in building software as a service type products.

But now let's find out if the CLI can actually run this app.

When I initially asked it to serve the app locally, it didn't seem to understand that command, and it required me to add a secondary prompt to explain in more detail what I wanted,

then eventually it gave me a Python command to serve locally.

And this command worked perfectly fine, as you can see here.

That wouldn't have been my first choice of a command, but it works.

Now let's try something a little more complicated.

In the HTML, I'm going to add a phone number.

Then I'm going to prompt Copilot to come up with a command

that can search this entire project for any files that have patterns with phone numbers.

It returns this big long command that looks like some kind of alien language unless you're a Linux guru.

Like what does fine do, what does grep do, and what is this weird pattern here?

I could use my 15 years of human expertise to explain it to you, or you could just have Copilot do that, where it explains how fine looks in your current directories,

and grep matches this regular expression to look for any phone number patterns.

It's hard to believe, but there are programmers out there who can write code like this using nothing but their own brains.

I suppose nothing hurts you.

Only pain.

Luckily for you, you can allocate that brain space to something else, like a new TikTok dance.

When we paste the command into the terminal, it successfully searches and finds all the phone number patterns.

But now it's time for the grand finale.

As you can see here, I have this mp4 video, which contains a short clip of the world's greatest actor and governor.

What I want to do is use a tool called ffmpeg to convert it to an animated gif. And yes, I said gif with a hard g to get a bunch

of hateful comments from the United GIF Alliance in order to increase engagement on this video.

But the end result from our prompt is this long command that'll look completely foreign if you've never used ffmpeg.

It's an awesome tool that I have a separate video about.

But let's just go ahead and run it and see if it works.

And of course it works perfectly, turning the video clip into a GIF.

The bottom line is that the Copilot CLI makes all these amazing command line tools in Linux

and PowerShell accessible to anyone with very little effort.

And finally, the last thing I want to mention is that

if you don't want to pay Microsoft 10 bucks a month to use Copilot, there are some great free alternatives like Codium.

Just throwing that out there for anyone who's already spending way too much money on AI like me.

Thanks for watching, and I will see you in the next one.

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✨ 추천 영상

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이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “GitHub Copilot now controls your command line..”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: command, copilot, cli, html, github. 이 영상에는 섀도잉할 문장 68개와 단어 1235개가 있습니다. 말하는 구간의 길이는 5:14입니다. 화자는 분당 약 236단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 81%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
directory 명사	/dɪˈɹɛktəɹi/	디렉토리, 폴더
prompt 동사	/pɹɑmpt/	부추기다
programmer 명사	/ˈpɹoʊɡɹæmɚ/	프로그래머
alias 명사	/ˈeɪ.li.əs/	가명, 별명
revise 동사	/ɹɪˈvaɪz/	복습하다
pasta 명사	/ˈpɑ.stə/	파스타
abbreviation 명사	/əˌbɹi.viˈeɪ.ʃn̩/	축약
clipboard 명사		클립보드
configure 동사	/kənˈfɪɡə(ɹ)/	설정하다
exclamation 명사	/ˌɛkskləˈmeɪʃn̩/	외침
guru 명사	/ˈɡʊɹ(ˌ)u/	지도자, 구루
cowboy 명사	/ˈkaʊˌbɔɪ/	카우보이
nickname 명사	/ˈnɪkneɪm/	닉네임, 애칭
glance 동사	/ɡlæns/	쳐다보다
luckily 부사	/ˈlʌk.ɪ.li/	운 좋게, 다행(多幸)히

영상에 나오는 구동사

단어	뜻
point out 동사	가리키다

주의할 발음

화자는 you're, don't, I'm 같은 축약형과 약화된 형태를 21번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: bash /bæʃ/, abbreviation /əˌbɹi.viˈeɪ.ʃn̩/, exclamation /ˌɛkskləˈmeɪʃn̩/, instruction /ɪnˈstɹʌkʃən/
긴 단어 — 강세 위치에 주의: directory /dɪˈɹɛktəɹi/, abbreviation /əˌbɹi.viˈeɪ.ʃn̩/, individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, accessible /əkˈsɛs.ɪ.bəl/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: configure /kənˈfɪɡə(ɹ)/, hateful /ˈheɪtfəl/, finale /fəˈnɑli
/v/ — ㅂ(/b/)과 구별하기: revise /ɹɪˈvaɪz/, abbreviation /əˌbɹi.viˈeɪ.ʃn̩/, individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, convert /kənˈvɝt/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: revise /ɹɪˈvaɪz/, expertise /ˌɛkspɜːˈtiːz/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, directory, prompt, programmer 같은 단어에 특히 주의합니다.

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.

섀도잉 방법: 단계별 전체 가이드 읽기 →

쉐도잉 연습: GitHub Copilot now controls your command line... - 영상으로 영어 말하기 배우기

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