Практика Shadowing: The last real programmers are dying out... - Изучайте разговорный английский по видео

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The programmer.

Four years ago, science classified 10 known variants of this animal,

and the taxonomy held up pretty well until an asteroid hit in 2023 and nearly wiped them off the Earth.

Since then, the habitat has changed.

9 out of 10 developers are now using AI to write their code, which means the one who doesn't is now endangered.

Meanwhile, several new species have emerged recently, and in order to understand them,

we need stereotypes, which experts still estimate are about 99 % accurate about 12 % of the time.

In today's video, we'll look at the seven programmer stereotypes of 2026 to help you find out which one you've mutated into.

First up, we have the non -technical vibe coder.

This specimen doesn't know what a for loop is, and he doesn't really care.

He describes himself as a founder

and his entire tech stack is a chat window with a prompt that says it's still not working.

He launches a SaaS on Tuesday, it gets hacked on Wednesday because the API keys are hard -coded on the front end,

and on Thursday, he posts a thread about resilience.

His natural predator is Edsger Dykstra, and his natural habitat is a screenshot of monthly recurring revenue

that was also generated by AI because he doesn't know how to use dev tools.

Evolutionary biologists have traced his lineage directly back to the boot camp programmer who normalized not understanding computer science fundamentals.

Next, the closest living relative to the non -technical vibe coder is the prompt casino degenerate.

This guy is technical, but only if it's easier than LeetCode Medium.

He pulls the lever the agent spins, and about 60 % of the time,

he gets a tasty piece of cheese he can make a PR out of.

He spends $400 per month of his own money on coding agents

because his company just set a $29 per month employee limit after agentic abuse.

When the code is good, it's because he's a prompt engineer, and when it's bad, it's because Opus is nerfed.

His family left him after

he cashed out the kid's 529 college plans to give his agent full API access to his CalShe account,

but that's okay because the latency with local voice models is low enough that it feels real.

Next, the apex predator of the prompt casino degenerate, the swarm lord, who biologists classify as eusocial.

This guy knows how to code and enjoy it, but he's gaslit himself into thinking he's never been more productive.

He runs 12 agents in parallel from his phone, and his favorite thing to do while his agents work is tell you

that he runs 12 agents in parallel from his phone.

He hasn't looked at a line of code in years, but he has strong opinions about which model has the best taste.

His natural predator is uptime, and his mating call is saying that writing software is a solved problem.

The Swarmlord feasts on our next variant, the Slop Maintainer.

This guy wrote a date formatting library in 2019 that now has 40 million weekly downloads and is critical web infrastructure.

He gets hundreds of PRs per month that are each co -authored by Claude,

and in October, he gets 10 ,000 more from junior devs in Bangalore, hoping to get a free t -shirt.

He survives on the $95 he gets from his GitHub sponsors every month, while he watches the famous library maintainers make millions getting acquired by Shopify.

His natural predator is a North Korean maintainer offering to help, and his mating call is threatening to archive the repo every other month.

The maintainer never found out who sent those 10 ,000 PRs, but the biologists have, and they're calling him the unemployed junior.

His whole life, he did everything right.

Good grades, studied leak code, didn't kiss any girls, and he's been rejected by every AI screener that's come across his resume.

He graduated in 2024, which was about six months after the last entry -level job on earth was filled.

His GitHub contribution graph is a solid wall of green made entirely of readme typo fixes and Python projects from school.

His natural habitat is a Discord server, and his natural predator is the non -technical vibe coder who can build everything he can,

just with a marketing degree.

His mating call is asking if anybody is hiring, and the guy who keeps saying no is our next specimen, the old jaded developer.

This guy is in his mid -30s.

He learned Grunt, then Gulp, then Webpack.

He got excited for jQuery, then

Angular, then React.

He even stuck around for Hooks and Next .js, but now he's old, tired, and couldn't care less about benchmarks.

He's not going to learn your harness, he's not going to read your system prompt, and he's not going to run 12 of anything.

The full extent of his AI usage is hitting

Tab and GitHub Copilot, which he's gotten for free since 2023 because he contributed to Gatsby back in the day.

He doesn't know there's a chat window in his IDE, he misses 100 seconds videos, and when co -pilots suggest something wrong,

he just deletes it by hand like a monk raking gravel.

He's not anti -AI, he just has a parent -teacher conference at 4pm, and is coaching his third graders basketball at 7.

But you know who is anti -AI?

Our final specimen, the purist.

This man is the best in us, he's noble, brave, handsome, and has 20 years of experience in a world that no longer exists.

He hasn't had a job since MCP was released, which by the way he thinks is just Korba with worse security.

When he did have a job, he wrote every line by hand and would gladly tell you the big O of any slop you whipped up.

His favorite books are Introduction to Algorithms and The Pragmatic Programmer,

and nowadays he can be found in his natural habitat on Hacker News talking about the craft of writing software.

Biologists estimate that there are fewer than 10 ,000 of these left in the wild, and their numbers are dwindling by the day.

But no matter which stereotype you identify as, you need to check out Serp API, the sponsor of today's video.

If you're building an AI app that needs live data, like prices or store hours,

your LLM will start spitting out confidently wrong answers because of its stale -ass training data.

The Serp API lets your agent pull real -time results from Google, Amazon, Maps, and over 100 other engines.

It's all sourced from public pages and their own search index, so your agents are always working with data that's already public.

And they just launched

Extract API, so when your agent finds a page it needs,

it can grab the whole thing as structured JSON or as clean markdown that won't nuke your context window.

You can add it to Cloud Code, Cursor, and Codex through their MCP server, and SERP API is already used by companies like NVIDIA and Perplexity,

because even AI search engines need a real search engine to try it out for free with this QR code

or at the link below.

Thanks for watching and I will see you in the next one.

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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики построен на видео «The last real programmers are dying out..». Чаще всего повторяются слова: agent, code, natural, Api, month. В этом видео 78 предложений и 1199 слов для шедоуинга. Речь длится 5:55. Говорящий говорит быстро, около 203 слов в минуту, поэтому звуки часто сливаются и сокращаются. Только 77% слов входят в 3000 самых частых слов английского языка, поэтому лексика сложная.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

Слово	Произношение	Значение
prompt глагол	/pɹɑmpt/	побужда́ть, внуша́ть
predator существительное	/ˈpɹɛd.ə.tɚ/	хи́щник
programmer существительное	/ˈpɹoʊɡɹæmɚ/	программи́ст, программи́стка
vibe существительное	/vaɪb/	атмосфе́ра, а́ура
specimen существительное	/ˈspɛsɪmɪn/	образе́ц, экземпля́р
server существительное	/ˈsɝvɚ/	се́рвер
estimate существительное	/ˈɛs.tɪ.mət/	оце́нка
parallel прилагательное	/ˈpæ.ɹəˌlɛl/	паралле́льный
developer существительное	/dɪˈvɛləpɚ/	разрабо́тчик, разрабо́тчица
casino существительное	/kəˈsiːnəʊ/	казино́, иго́рный дом
sponsor существительное	/ˈspɒn.səː/	поручи́тель, поручи́тельница
variant существительное	/ˈvæɹi.ənt/	вариа́нт
meanwhile наречие	/ˈmiːnwaɪl/	в э́то вре́мя, в то́ же вре́мя
relative существительное	/ˈɹɛl.ə.tɪv/	ро́дственник, ро́дственница
extent существительное	/ɪkˈstɛnt/	сте́пень, объём

Фразовые глаголы, которые вы услышите

Слово	Значение
find out глагол	узнава́ть, узна́ть
check out глагол	проверя́ть, прове́рить
hold up глагол	задерживать, ждать

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

Конструкция	В видео
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчас	has changed · have emerged · you've mutated
Пассивный залог be + причастие прошедшего времени — важно, что происходит, а не кто это делает	is now endangered · was also generated · is nerfed
Придаточные определительные who / which + предложение — уточнение о человеке или предмете	code, which means · guy who keeps

Произношение, на которое стоит обратить внимание

Говорящий использует 14 сокращённых и редуцированных форм, например doesn't, hasn't, couldn't. Произносите их коротко, так, как слышите.

Звуки «th»: thread /ˈθɹɛd/, threaten /ˈθɹɛt.n̩/
Звуки «sh» и «zh»: contribution /ˌkɑntɹɪˈbjuʃən/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, screenshot /ˈskriːn.ʃɑt/, benchmark /ˈbɛn(t)ʃmɑːk/
Длинные слова — следите за ударением: developer /dɪˈvɛləpɚ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, contribution /ˌkɑntɹɪˈbjuʃən/, fundamental /ˌfʌn.dəˈmɛn.təl/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/

Звуки, трудные для русскоязычных:

/w/ — губы округлены, это не /v/: meanwhile /ˈmiːnwaɪl/, acquire /əˈkwaɪɚ/, whip /ˈwɪp/, wipe /waɪp/, dwindle /ˈdwɪn.dəl/
/h/ — лёгкий выдох, а не русское «х»: habitat /ˈhæb.ɪ.tæt/, hire /ˈhaɪɹ/, handsome /ˈhæn.səm/, harness /ˈhɑɹ.nəs/
Звонкие согласные в конце слова — не оглушайте их: vibe /vaɪb/, relative /ˈɹɛl.ə.tɪv/, thread /ˈθɹɛd/, solve /sɒlv/, brave /bɹeɪv/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как prompt, predator, programmer.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →

Практика Shadowing: The last real programmers are dying out... - Изучайте разговорный английский по видео

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