Shadowing Practice: The hottest programming skill in 2026 - Learn English Speaking with Video

Systems thinking.

That's it.

You can end the video right now.

Every programming era had its own hot skill,

whether you were writing Java in the 90s,

PHP in the 2000s, Ruby in 2010,

and in 2026, aside from token maxing, it's systems thinking.

But what exactly is systems thinking?

It's understanding how each part of a system interacts over time.

Think of it like this.

You work at the Krusty Krab,

you can make a banger Krabby Patty,

but that's only one feature of the Krusty Krab.

How do they scale to a thousand Krabby Patties per hour.

What happens when the fryer breaks?

Or worse, Patrick is your waiter.

Systems thinking has its roots in biology,

and it can be applied to many different fields.

Supply chain management, market dynamics,

traffic, and of course, software engineering.

Nowadays, anytime we hear systems and programming,

we immediately think of system design interview questions.

But that's only a part of it.

Systems thinking and software engineering have an old relationship,

and it's only getting more prominent as time passes.

And I have some charts to back it A16Z published this graph showing software jobs are going up.

I personally hate these graphs.

Not because I'm Mr. Dario,

I was meant to replace you 24 months ago, agentic pilled.

But I hate seeing these graphs because it doesn't clarify what kind of software jobs are going up.

Do you really think the demand for Pascal developers is going up?

Really, bro?

Thankfully, there's always a programmer with some spare time and a banger blog that did the research for me.

This graph shows off the number of job postings by each job title.

Look at the top three.

They all develop carpal tunnel, but also systems.

Look at machine learning engineers.

They use tools like PyTorch, Kafka, Kubernetes.

They use these tools to build stuff like fraud detection algorithms,

which can analyze millions of transactions so your credit card isn't used in Belarus to buy an iPhone.

The fraud detection algorithm is a system.

Similarly, data engineers and backend engineers,

when they're not gluing APIs together, they're building systems.

The ability to think in systems is so hot right now.

Anthropic has a section on their careers page just for infrastructure software engineers.

Even the latest jobs coming out of the GPT wrapper factories.

They're about making the use of LLMs more efficient, which is a system.

Hopefully I've sold you on the importance of systems thinking,

so now you can go learn about it.

Learning systems is harder than anything else in programming,

since you can't just replicate the scale of millions of users.

Except, there is one way.

Playing Factorio.

I'm not even kidding.

Factorio is a game where you learn how to build systems.

For those that are unaware,

the premise of the game is that you crash land on a planet,

you need to build a rocket to escape.

To build that rocket, you need to get resources.

To get those resources, you need to build systems and get really good at building them.

Factorio is the most underrated way to learn about large-scale systems and actually get some experience,

because it teaches you about impact,

bottlenecks, and how to continuously improve a large-scale system.

There's this amazing video by Tony Zhu that goes over the relationship between Factorio and software engineering.

Another unconventional way of learning about systems thinking is by watching Kevin Fang and reading the Cloudflare outage postmortems.

If you want a more conventional method,

you could always read this excellent book called Thinking in Systems by Donella Meadows.

Now if you're absolutely insistent on building a project,

you can look up public repositories of massive datasets and use that to stress test your project,

whether it's by benchmarking how quickly you read and write to the database,

or seeing if your front-end code can actually handle that much data.

Fundamentally, systems have always been a part of software engineering,

and it is the strongest skill you can learn right now,

whether you're into back-end, front-end, or even game dev.

Understanding how something as granular as your code fits into the bigger picture will always be valuable.

And hey, at least you have an excuse to get good at Factorio now.

You'll also get more time to play Factorio by using the sponsor of today's video,

Convex, the backend platform that keeps your app in sync.

In modern programming, you're not really just programming anymore.

You're spending half your time coordinating between your frontend,

backend, database, and whatever other shenanigans you have going on.

I'm not judging, but essentially you've been reduced to the dude in front of the orchestra with the pointy stick.

Not anymore though, Convex finally lets you build again.

Instead of gluing services together,

your backend is just TypeScript functions.

You write functions to read and write data,

and Convex handles a database,

APIs, and syncing between everything automatically.

And look at this sync bro, so smooth, so crispy.

And is that real-time updates between two users?

Convex fits right into the TypeScript ecosystem you're already using,

and you can also use it it with a few friendly faces.

No more raw dogging squeal,

no more glue engineering, no more cash invalidation,

and no more shadowboxing with your app to keep it in sync.

You owe it to yourself to go to bigboxsweet.dev slash convex.

✨ Video Öner

262 cümleler

Bu dersin kelimeleri ve konuşma notları

Bu C1 seviyesindeki konuşma dersi “The hottest programming skill in 2026” videosuna dayanıyor. En çok tekrarlanan kelimeler: thinking, software, Factorio, build, convex. Bu videoda gölgeleme çalışması için 96 cümle ve 909 kelime var. Konuşma bölümü 4:15 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 214 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin yalnızca %79’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
convex sıfat	/ˈkɑn.vɛks/	konveks, dışbükey
graph isim	/ɡɹæf/	grafik
glue isim	/ɡlu/	tutkal, yapıştırıcı
algorithm isim	/ˈælɡəɹɪðm̩/	algoritma
outage isim	/ˈaʊ.tɪd͡ʒ/	kesinti
shadowboxing isim		gölge boksu
shenanigans isim	/ʃɪˈnæn.ɪ.ɡənz/	yaramazlık
replicate fiil	/ˈɹɛplɪkeɪt/	replike etmek
programmer isim	/ˈpɹoʊɡɹæmɚ/	programcı
benchmark isim	/ˈbɛn(t)ʃmɑːk/	mihenk taşı
waiter isim	/ˈweɪ̯təː/	garson
underrated sıfat	/ʌn.dɚˈɹeɪ.təd/	kadri bilinmemiş
ecosystem isim	/ˈikoʊˌsɪstəm/	ekosistem
token isim	/ˈtoʊkən/	jeton
premise isim	/ˈpɹɛm.ɪs/	mukaddem, öncül

Duyacağınız deyimsel fiiller

Kelime	Telaffuz	Anlam
look up fiil	/ˌlʊk ˈʌp/	yukarı bakmak
show off fiil		hava atmak

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

Yapı	Videoda
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem	I've sold · have always been · you've been reduced
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli	can be applied · was meant · you've been reduced

Dikkat edilecek telaffuzlar

Konuşmacı you're, I'm, they're gibi kısaltılmış biçimleri 17 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

“th” sesleri: algorithm /ˈælɡəɹɪðm̩/, anthropic /ænˈθɹɒp.ɪk/
“sh” ve “zh” sesleri: detection /dɪˈtɛk.ʃən/, invalidation /ɪnˌvæl.əˈdeɪ.ʃən/, shenanigans /ʃɪˈnæn.ɪ.ɡənz/, benchmark /ˈbɛn(t)ʃmɑːk/
Uzun kelimeler — vurguyu doğru yere koyun: invalidation /ɪnˌvæl.əˈdeɪ.ʃən/, repository /ɹɪˈpɒz.ɪ.t(ə.)ɹɪ/, shenanigans /ʃɪˈnæn.ɪ.ɡənz/, underrated /ʌn.dɚˈɹeɪ.təd/, ecosystem /ˈikoʊˌsɪstəm/

Türkçe konuşanların zorlandığı sesler:

/w/ — dudaklar yuvarlak, /v/ değil: squeal /skwil/, waiter /ˈweɪ̯təː/, unaware /ˌʌnəˈwɛɚ/
Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: graph /ɡɹæf/, glue /ɡlu/, crispy /ˈkɹɪs.pi/, granular /ˈɡɹæn.jə.lə(ɹ)/, squeal /skwil/
/æ/ — “e”den daha açık: graph /ɡɹæf/, banger /ˈbæŋ.ə/, algorithm /ˈælɡəɹɪðm̩/, anthropic /ænˈθɹɒp.ɪk/, granular /ˈɡɹæn.jə.lə(ɹ)/

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; convex, graph, glue 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.

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