Shadowing Practice: How To Dominate 2026 as a Software Developer - Learn English Speaking with Video

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.

✨ Video Öner

63 cümleler

The UX/Product Design Interview Process Explained (2023) - how I landed multiple FAANG offers

Business EnglishInterview EnglishUniversity Students

179 cümleler

She learned one new skill that unlocked a $120K salary

Business EnglishInterview EnglishUniversity Students

Bu dersin kelimeleri ve konuşma notları

Bu B2 seviyesindeki konuşma dersi “How To Dominate 2026 as a Software Developer” videosuna dayanıyor. En çok tekrarlanan kelimeler: engineer, project, developer, coding, engineering. Bu videoda gölgeleme çalışması için 85 cümle ve 1146 kelime var. Konuşma bölümü 5:42 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 201 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin yalnızca %81’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

Kelime	Telaffuz	Anlam
developer isim	/dɪˈvɛləpɚ/	geliştirici
stack isim	/stæk/	yığın
disappear fiil	/dɪsəˈpɪɹ/	gözden kaybolmak, yok olmak
boilerplate isim		kazan saçı
memorize fiil	/ˈmɛm.əˌɹaɪ̯z/	ezberlemek
shortcut isim	/ˈʃɔːtkʌt/	kestirme, kestirme yol
syntax isim	/ˈsɪn.tæks/	sözdizimi, sentaks
scarce sıfat	/ˈskɛɚs/	nadir
obsolete sıfat	/ˈɑbsəlit/	eskimiş
accelerate fiil	/ɪkˈsɛl.əˌɹeɪt/	hızlandırmak
eclipse isim	/ɪˈklɪps/	tutulma
messy sıfat	/ˈmɛsi/	darmadağınık, karmakarışık
vibe isim	/vaɪb/	ortam
correction isim	/kəˈɹɛkʃən/	düzeltme
adapt fiil	/əˈdæpt/	uydurmak, adapte etmek

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

Yapı	Videoda
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli	is automated · be created · is stuck
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem	has filtered · hasn't replaced
İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi	scarce, which means · people who get

Dikkat edilecek telaffuzlar

Konuşmacı you're, don't, they're gibi kısaltılmış biçimleri 23 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

“sh” ve “zh” sesleri: transcription /tɹænˈskɹɪpʃən/, shortcut /ˈʃɔːtkʌt/, specialize /ˈspɛʃəˌlaɪz/, sugarcoat /ˈʃʊɡɚˌkoʊt/, offshore /ɒfˈʃɔː(ɹ)/
Uzun kelimeler — vurguyu doğru yere koyun: developer /dɪˈvɛləpɚ/, accelerate /ɪkˈsɛl.əˌɹeɪt/, speculation /ˌspɛk.jəˈleɪ.ʃən/

Türkçe konuşanların zorlandığı sesler:

Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: stack /stæk/, transcription /tɹænˈskɹɪpʃən/, tutorial /ˌtjuːˈtɔːɹɪəl/, scalable /ˈskeɪ.lə.bl̩/, specialize /ˈspɛʃəˌlaɪz/
/æ/ — “e”den daha açık: stack /stæk/, transcription /tɹænˈskɹɪpʃən/, transcribe /trænˈskɹaɪb/, syntax /ˈsɪn.tæks/, standpoint /ˈstændpɔɪnt/

Bu videoyla nasıl çalışılır

Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
Kendinizi kaydedin ve orijinaliyle karşılaştırın; developer, stack, disappear gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →

Shadowing Practice: How To Dominate 2026 as a Software Developer - Learn English Speaking with Video

How To Land Your First Junior Dev Role

The (Overdue) Collapse of AI Layoffs (here's the proof)

Fastest way to become an AI Engineer in 2026

The Art Of Winning In Tech

How I Escaped Help Desk Fast (Step-by-Step)

I'm an ex-Google interviewer. You're doing LeetCode wrong.

How I Would Start Cybersecurity in 2026 (If Starting From Zero)

SOFTWARE ENGINEER Interview Questions & TOP SCORING ANSWERS!

How To Speak Like A Billion-Dollar CEO

How I’d Learn Coding in 2026 (Without Wasting Years)