Prática de Shadowing: The Art Of Winning In Tech - Aprenda a falar inglês com vídeo

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There has never been a better time to be a software engineer.

I know everyone's scared about the whole AI wave, but if you're anything like me, you got interested in software because of the ability to make something real.

Something another person could actually use.

Something that could blow up and change the world, all while just needing a laptop and an idea.

And that has never been more achievable than now.

What used to take a team of five can now take one person.

What used to take years of learning syntax and documentation and writing every single line by hand, you can now do in a fraction of the time.

And trust me, I know everywhere you look and all over the comments of this video, people are gonna say software developers will be completely wiped out.

But the ones getting wiped out by the AI wave aren't losing because they're bad developers, they're losing because that world of software is fading out.

But the people winning, you know that one guy in your classes with five internships and a job lined up?

Or the guy who built something real enough that a company just hired them for it?

Or the back-end engineer at a normal tech company who became

so productive with AI that they now own systems they would have never touched?

Or the random developer charging $50 a month for a tool they built in a weekend?

or the founders chasing a vision that they actually believe in with a team of two instead of twenty, they're all winning for the same reason.

They understood the new rules faster, about what to build, how to build it, and how to use every resource available to close the gap between where they are and where they want to be.

So instead of getting wiped out by this new wave of software engineering...

Picture two types of people.

The first person is the spectator.

For whatever reason, they never fully leaned into the AI wave, and honestly, part of it's probably because the entire space feels overwhelming.

They hear LLMs, RAG, Agents, GBT, Claude, OpenAI, Anthropic, and after a certain point, it just all starts blending into one giant cloud of AI words.

Or they've been told that using AI somehow makes them a worse programmer, so they keep their distance from it.

But on the other hand, you have the surfer.

The surfer understands that this is a field built on abstraction.

Nobody calls you a fake programmer for using frameworks or libraries, stack overflow, random open source code where you don't even know how it works.

So instead of resisting the wave, they learn how to move with it.

They use AI to learn fundamentals faster, to experiment faster, to close the gap between what they can imagine and what they can actually build.

Maybe you're building web apps and you use AI to scaffold an entire dashboard in a day.

Or maybe you're building a game engine

and using AI to help explain some brutal graphics concept that would have taken you hours to decode from documentation alone.

The leverage looks different depending on the field, but the surfers, regardless, are experimenting.

They're shortening the distance between idea and execution.

They have an idea and immediately test it.

They automate boring parts of their workflow.

They use AI to understand unfamiliar code bases faster.

To research faster.

To prototype faster.

To debug faster.

To learn faster.

Their feedback loops are insanely short.

And that matters because software engineering is becoming more and more of a creativity game.

In the sense that the people that are winning are the people noticing things.

Connecting things.

Building weird tools that nobody even thought of before.

And following curiosity fast enough before the excitement disappears.

Because a few years ago, if you wanted to test an ambitious idea, the barrier was enormous.

Now some random student can lock in for a weekend and accidentally build something that thousands of people use.

And I think a lot of developers still haven't adjusted to how insane this shift actually is.

They're still waiting until they know enough or until they master

that one language or framework or just completely distancing themselves from this new wave of technology.

Meanwhile, the surfers moving the fastest are already in the water, building, testing, learning, shipping, adjusting,

because programming is becoming less about manually typing every brick yourself and more about what should exist in the first place.

The bottleneck is no longer can you write the code, it's can you think clearly, can you recognize good ideas, can you move on them quickly, can you learn fast enough to keep up with your own ambition.

Because AI doesn't remove the need for builders, if anything it raises the ceiling for the ones that actually build.

But adapting to this new wave isn't just about using AI, it's about learning how to think clearly while using it.

Which is why you need to- You can't just build in silence anymore.

The people getting opportunities right now, like internships, referrals, startup roles, even research positions, are often the ones who are most visible.

They're building their projects and they're also posting it on LinkedIn.

Or they're doing short demo videos on Twitter.

Or maybe they're just writing about random things that they learned from a class, or a bug, or a failed project, or a random opinion that they have about programming.

Not because they're influencers, but it signals that this person is actively building.

And in this new era of software engineering, especially at companies that are literally shaping this wave like OpenAI or Anthropic,

the people who are reviewing talent here are looking for builders who are already in motion, not just people who say that they're interested.

So you don't need a perfect portfolio, you just need a visible one.

And the third part of this is that you have to stop over-filtering what you're allowed to build.

People get stuck because they keep asking, is this idea even good enough for my resume or for my portfolio?

Or they might ask, am I skilled enough or should I wait until I know more?

But the people who are actually improving are just using everything available to them and just building it anyway.

So using AI, libraries, templates, random GitHub repos, documentation, they're trying to brute force learning through building.

Even if it feels not good enough or maybe it feels too good

and it feels ambitious or if it feels messy or something that one person shouldn't be able to build.

That's exactly the point.

Because the fastest way to become that kind of programmer, the one who just builds things and makes it work, is to stop negotiating with yourself every time that you get an idea.

You build it, ship it, show it, iterate, and slowly your identity starts to catch up with your behavior.

And the one thing under all of that, the thing that lets you keep up with your own ambition is to never stop learning, which is why I genuinely got excited when I saw that Brilliant Today sponsor just dropped something game-changing.

This is the new Brilliant.

It's a personal tutor for math and coding, and it's the fastest tool I've used to actually get good at this stuff.

It sits on your screen with you, adapts to how you think, and makes hard concepts feel like puzzles that you actually want to solve.

The curriculum covers everything from the fundamentals all the way through college level and above in subjects like math and coding, built by people from MIT,

Harvard, and Stanford, so you know you're getting the best of the best.

And for where we're at in software right now, the coding side is specifically focused on the things that actually matter, such as logical reasoning, debugging instincts, thinking clearly under complexity.

It's also there every day.

No scheduling, no friction, you can just open it and go.

So if you want to level up as a developer and try Brilliant, click the link below or scan the QR code to get started with Brilliant's tutor for free.

You can upgrade to Premium to unlock all courses

and right now lattice viewers can save 20 off an annual subscription at brilliant.org slash lattice

so thank you once again to brilliant for sponsoring this video

and thank you to everyone for watching i'm really trying to up the levels like editing better uploading more

and all that stuff so subscribe like comment share everything thank you

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Vocabulário e dicas de fala para esta lição

Esta aula de conversação de nível B2 usa o vídeo “The Art Of Winning In Tech”. As palavras que mais se repetem: build, wave, faster, software, random. Este vídeo tem 89 frases e 1446 palavras para praticar shadowing. A fala dura 6:24. O falante fala rápido, cerca de 226 palavras por minuto, então espere sons ligados e reduzidos. 83% das palavras estão entre as 3.000 mais comuns do inglês; vale a pena estudar o restante antes de começar.

Vocabulário principal deste vídeo

As 15 palavras mais avançadas do vídeo, com pronúncia e significado:

Palavra	Pronúncia	Significado
developer substantivo	/dɪˈvɛləpɚ/	desenvolvedor, desenvolvedora
surfer substantivo	/ˈsɜː(ɹ)fə(ɹ)/	surfista
programmer substantivo	/ˈpɹoʊɡɹæmɚ/	programador, programadora
wipe verbo	/waɪp/	esfregar, enxugar
debug verbo	/diːˈbʌɡ/	depurar, debugar
lattice substantivo	/ˈlæt.ɪs/	gelosia, rótula
internship substantivo	/ˈɪntɜːnʃɪp/	estágio
tutor substantivo	/ˈtjuːtəː/	tutor
builder substantivo	/ˈbɪl.dəɹ/	construtor, construtora
ambition substantivo	/æmˈbɪʃ.ən/	ambição
ambitious adjetivo	/æmˈbɪʃ.əs/	ambicioso
adapt verbo	/əˈdæpt/	adaptar
sponsor substantivo	/ˈspɒn.səː/	patrocinador
adjust verbo	/əˈd͡ʒʌst/	ajustar
portfolio substantivo	/pɔːtˈfəʊ.liˌəʊ/	porta-fólio, portfólio

Phrasal verbs que você vai ouvir

Palavra	Significado
wipe out verbo	aniquilar, exterminar
blow up verbo	explodir

Gramática neste vídeo

As estruturas que o falante mais usa, com as palavras exatas do vídeo:

Estrutura	No vídeo
“Used to” used to + verbo — um hábito ou estado do passado que não é mais verdade	used to take
Orações relativas who / which + oração — informação extra sobre uma pessoa ou coisa	guy who built · ones who are · people who are
Present perfect have/has + particípio passado — uma ação passada que ainda importa agora	has never been · they've been told · haven't adjusted

Pronúncia para ficar de olho

O falante usa 30 contrações e formas reduzidas, como they're, you're, don't. Diga-as na forma curta, do jeito que você ouve.

Os sons de “sh” e “zh”: documentation /ˌdɑkjəmɛnˈteɪʃən/, internship /ˈɪntɜːnʃɪp/, ambition /æmˈbɪʃ.ən/, ambitious /æmˈbɪʃ.əs/, abstraction /æbˈstɹæk.ʃn̩/
Palavras longas — acerte a sílaba tônica: developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, portfolio /pɔːtˈfəʊ.liˌəʊ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, achievable /əˈt͡ʃivəbəl/

Sons difíceis para falantes de português:

Consoante final — sem acrescentar um “i” depois: wipe /waɪp/, debug /diːˈbʌɡ/, internship /ˈɪntɜːnʃɪp/, adapt /əˈdæpt/, adjust /əˈd͡ʒʌst/
/l/ final — a língua toca o céu da boca, não vira “u”: achievable /əˈt͡ʃivəbəl/, referral /ɹɪˈfɜː.ɹəl/, puzzle /ˈpʌzəl/, brutal /ˈbɹuːtəl/, logical /ˈlɑd͡ʒɪkəl/
s + consoante no início — sem um “i” antes: sponsor /ˈspɒn.səː/, scaffold /ˈskæf.əld/, spectator /spɛkˈteɪtə/, startup /ˈstɑɹtˌʌp/, stack /stæk/

Como praticar com este vídeo

Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
Grave a sua voz e compare com o original, prestando atenção a palavras como developer, surfer, programmer.

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →

Prática de Shadowing: The Art Of Winning In Tech - Aprenda a falar inglês com vídeo

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