Shadowing-Übung: GitHub Copilot now controls your command line... - Englisch Sprechen Lernen mit Video

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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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Wortschatz und Sprechhinweise zu dieser Lektion

Diese Sprechübung auf Niveau B2 basiert auf dem Video „GitHub Copilot now controls your command line..“. Diese Wörter kommen am häufigsten vor: command, copilot, cli, html, github. Dieses Video enthält 68 Sätze und 1235 Wörter zum Nachsprechen. Der gesprochene Teil dauert 5:14. Der Sprecher spricht schnell, etwa 236 Wörter pro Minute – rechne mit verbundenen und verkürzten Lauten. Nur 81 % der Wörter gehören zu den 3.000 häufigsten im Englischen, der Wortschatz ist also anspruchsvoll.

Wichtiger Wortschatz in diesem Video

Die 15 anspruchsvollsten Wörter aus dem Video, mit Aussprache und Bedeutung:

Wort	Aussprache	Bedeutung
copilot Substantiv		Kopilot, Copilot
directory Substantiv	/dɪˈɹɛktəɹi/	Verzeichnis
prompt Verb	/pɹɑmpt/	veranlassen, dazu bringen
programmer Substantiv	/ˈpɹoʊɡɹæmɚ/	Programmierer, Programmiererin
alias Substantiv	/ˈeɪ.li.əs/	Pseudonym, Deckname
grep Verb	/ɡɹɛp/	greppen
revise Verb	/ɹɪˈvaɪz/	revidieren, ändern
bash Verb	/bæʃ/	bashen
pasta Substantiv	/ˈpɑ.stə/	Nudeln, Teigwaren
abbreviation Substantiv	/əˌbɹi.viˈeɪ.ʃn̩/	Abkürzung, Kürzen
allocate Verb	/ˈæl.ə.keɪt/	belegen, zuordnen
animate Adjektiv	/ˈæn.ə.mət/	lebendig, beseelt
clipboard Substantiv		Klemmbrett, Zwischenablage
configure Verb	/kənˈfɪɡə(ɹ)/	konfigurieren
exclamation Substantiv	/ˌɛkskləˈmeɪʃn̩/	Ausruf

Phrasal Verbs, die du hören wirst

Wort	Aussprache	Bedeutung
find out Verb		herausfinden, erfahren
go ahead Verb	/ˌɡoʊ əˈhɛd/	vorausgehen
come up with Verb		ausdenken
point out Verb		hinweisen
take down Verb		herunternehmen, abnehmen

Aussprache, auf die du achten solltest

Der Sprecher verwendet 21 Kurzformen und abgeschwächte Formen, zum Beispiel you're, don't, I'm. Sprich sie in der kurzen Form, so wie du sie hörst.

Die Laute „sh“ und „zh“: bash /bæʃ/, abbreviation /əˌbɹi.viˈeɪ.ʃn̩/, exclamation /ˌɛkskləˈmeɪʃn̩/, instruction /ɪnˈstɹʌkʃən/
Lange Wörter – auf die Betonung achten: directory /dɪˈɹɛktəɹi/, abbreviation /əˌbɹi.viˈeɪ.ʃn̩/, individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, accessible /əkˈsɛs.ɪ.bəl/

Laute, die Deutschsprachigen schwerfallen:

Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: revise /ɹɪˈvaɪz/, expertise /ˌɛkspɜːˈtiːz/, grid /ɡɹɪd/
/æ/ — offener als „ä“: programmer /ˈpɹoʊɡɹæmɚ/, bash /bæʃ/, allocate /ˈæl.ə.keɪt/, animate /ˈæn.ə.mət/, hacker /hækəɹ/
/dʒ/ — stimmhaft, nicht „tsch“: individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, generic /dʒɪˈnɛɹ.ɪk/

So übst du mit diesem Video

Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
Beginne mit 0,75-facher Geschwindigkeit, sprich Satz für Satz nach und wechsle zur normalen Geschwindigkeit, sobald es leichtfällt.
Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie copilot, directory, prompt.

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

Shadowing-Technik: die vollständige Schritt-für-Schritt-Anleitung lesen →

Shadowing-Übung: GitHub Copilot now controls your command line... - Englisch Sprechen Lernen mit Video

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