Pratique du Shadowing: How To Dominate 2026 as a Software Developer - Apprendre l'anglais à l'oral avec la vidéo

It's scary in the software developer job market right now.

Entry-level job postings are down and computer science unemployment is rising.

Well, I'm about to show you why this downturn could be the best thing to happen to your career.

Right now, there's a huge debate about why all this is happening.

Is AI really replacing developers?

Are companies simply offshoring?

Or is this maybe a market correction?

Well, here's my take.

I don't care.

And you shouldn't care either.

Because the fact is, jobs are scarce, which means that you have to do something about it, regardless of the root cause.

So while everyone else is fighting about why, they're missing what matters most.

What are you going to do to save your career?

I'm giving you a complete project that you can build on to become the developer companies want.

But first, you need to understand what these disappearing jobs actually mean.

While most developers panic and send hundreds of applications, some engineers land jobs in three to six months.

And they're not smarter or luckier, they just understand something that 90% of people miss.

And here's what's actually happening with real data, not opinions on X.

Yes, depending on how you look at it, postings can be down up to 71% and unemployment for computer science can even be up to 7.5%.

But software engineering as a discipline will go through the next decade.

The market itself is not shrinking, it's filtering.

You cannot just do a 4-week bootcamp for a 6-figure offer anymore.

You can't only know HTML and land a safe career.

Nowadays, you need to become a valuable backend, product or full stack engineer engineer, not just a regular developer but an AI native one.

An engineer will understand systems with AI tools

and can do what used to take three developers maybe in a couple of weeks.

So companies stopped hiring developers, they started hiring engineers more and here is why you should be happy about that.

Number one is that competition for real engineering positions just got easier.

Bootcamp graduates would only know React, well they're pretty much out because the market has filtered them

if you learn how those systems actually work on a full

stack perspective you'll eclipse most competition from a web development standpoint

now two people who get hired do get paid more

because one engineer can be worth much more of their composition thanks to ai coding

and implementing more scalable ai solutions you don't need to be a 10x engineer

which rarely exists just knowing how to use ai properly for coding

and building systems gives you a 10 to 25 edge which in a real job market is huge And three,

you're forced to learn skills that matter for 30 years and not three months, like the latest and greatest framework.

Maybe in 10 years coding is automated, but that speculation doesn't help your career today.

Focus on accelerating your work with AI and not pretending engineers and coding are obsolete.

Now, this is not bad news.

The market is saying, learn to actually engineer and we'll pay you what you are worth.

So let me show you what a real engineering project plus AI looks like.

Not theory, a real project that you can adapt.

This is a voice transcription tool with a Python backend with FastAPI, a TypeScript React frontend, local whisper model for transcribing,

and LLM integration, cleaning up the transcriptions.

And you can get this entire project for free in the link below.

Now, I want you to grab it because this type of project gets you hired in the next year.

And when creating this, I didn't just prompt ChatGPT to make me an app.

I had to understand how to architect a FastAPI backend, how to handle file uploads and process audio, how to integrate local LLM with error handling,

and how to make all this production ready, not just a tutorial.

Did AI help during the coding?

Absolutely.

Get a copilot and clock code, probably wrote 70% of the boilerplate.

But I understood 100% of the code that I generated.

I knew when it was wrong, I knew how to fix it, and I knew why the architecture had to be created in a given way.

So why does that get you hired if you have the same skills as me?

Well, first, it proves that you understand the full stack and not just React or frontend, not just tutorials.

You understand how systems communicate, how to integrate AI, and how to think about architecture like a real engineer.

Second, you can solve a real problem.

When a hiring manager asks you about a project you recently worked on, you can say that you built a production voice transcription tool that cleans up messy voice notes with local AI,

which is a concrete project that everyone can understand.

Third, it shows that you're an engineer who understands what you're building, and you're not just a code monkey.

In real technical interviews, you still need to code.

You still need data structures and algorithms, even without lead code problems.

So without a good understanding of the fundamentals you will fail

system design interviews you're not going to get away with that

if you only do vibe coding ai hasn't replaced real engineers

it's made the engineering skills more important to truly stand out

but the bar went up and not everyone is accepting that

so everyone complaining is stuck competing for jobs that just don't exist anymore

but you you can be celebrating because this bar went up

and now you know what to do now i won't sugarcoat this.

This path is way harder than the old way a couple of years back.

And the old way is just go into a bootcamp, memorize syntax, spam a couple of applications and get hired.

But that approach is now impossible.

The new way is to learn one real full stack like Python plus TypeScript, learn AI APIs and real language model engineering,

build two to three real projects, apply strategically, and then every developer will land a job using this strategy next year will say, You know, I stopped chasing shortcuts,

I built real projects, I learned fundamentals, and I specialized.

I became a real engineer.

If you want to follow this path, here's what to do.

Number one, you can download this project with the link in the description below.

Two, if you're job searching, you have to switch your strategy,

stop with generic applications, and create projects that prove you understand the systems that the companies are looking for.

So you have to understand that quick fashion software developer jobs are disappearing, but you can be happy about it because now we know what's replacing them.

Real engineering jobs which you can get if you're willing to put in the work.

✨ Vidéo recommandée

63 phrases

Vocabulaire et conseils d’expression pour cette leçon

Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « How To Dominate 2026 as a Software Developer ». Les mots qui reviennent le plus souvent : engineer, project, developer, coding, engineering. Cette vidéo contient 85 phrases et 1146 mots à répéter en shadowing. La partie parlée dure 5:42. Le locuteur parle vite, environ 201 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 81 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.

Vocabulaire clé de cette vidéo

Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :

Mot	Prononciation	Sens
developer nom	/dɪˈvɛləpɚ/	concepteur, développeur
stack nom	/stæk/	pile
integrate verbe	/ˈɪn.tɪ.ɡɹeɪt/	intégrer
tutorial nom	/ˌtjuːˈtɔːɹɪəl/	didacticiel, tutoriel
disappear verbe	/dɪsəˈpɪɹ/	disparaître
automate verbe	/ˈɔ.təˌmeɪt/	automatiser
copilot nom		copilote
downturn nom	/ˈdaʊntɜːn/	ralentissement, déclin
memorize verbe	/ˈmɛm.əˌɹaɪ̯z/	mémoriser, apprendre par cœur
scalable adjectif	/ˈskeɪ.lə.bl̩/	extensible, évolutif
shortcut nom	/ˈʃɔːtkʌt/	raccourci
specialize verbe	/ˈspɛʃəˌlaɪz/	spécialiser
strategically adverbe		stratégiquement
syntax nom	/ˈsɪn.tæks/	syntaxe
scarce adjectif	/ˈskɛɚs/	rare

Les verbes à particule que vous entendrez

Mot	Sens
clean up verbe	nettoyer
go up verbe	monter, s'élever
get away with verbe	s'en tirer
go through verbe	traverser

La grammaire de cette vidéo

Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :

Structure	Dans la vidéo
Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait	is automated · be created · is stuck
Present perfect have/has + participe passé — une action passée qui compte encore maintenant	has filtered · hasn't replaced
Propositions relatives who / which + proposition — une précision sur une personne ou une chose	scarce, which means · people who get

Prononciation à surveiller

Le locuteur utilise 23 contractions et formes réduites, comme you're, don't, they're. Prononcez-les sous leur forme courte, telles que vous les entendez.

Les sons « sh » et « zh »: transcription /tɹænˈskɹɪpʃən/, shortcut /ˈʃɔːtkʌt/, specialize /ˈspɛʃəˌlaɪz/, sugarcoat /ˈʃʊɡɚˌkoʊt/, offshore /ɒfˈʃɔː(ɹ)/
Mots longs — placez bien l’accent: developer /dɪˈvɛləpɚ/, accelerate /ɪkˈsɛl.əˌɹeɪt/, speculation /ˌspɛk.jəˈleɪ.ʃən/

Les sons difficiles pour les francophones :

/r/ anglais — langue recourbée, sans frotter la gorge: transcription /tɹænˈskɹɪpʃən/, integrate /ˈɪn.tɪ.ɡɹeɪt/, tutorial /ˌtjuːˈtɔːɹɪəl/, disappear /dɪsəˈpɪɹ/, memorize /ˈmɛm.əˌɹaɪ̯z/

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 developer, stack, integrate.

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.

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