シャドーイング練習: The last real programmers are dying out... - 動画で英語スピーキングを学ぶ

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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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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「The last real programmers are dying out..」を教材にしています。繰り返し出てくる語は次のとおりです：agent, code, natural, Api, month。この動画には、シャドーイング用の文が78文、単語が1199語あります。音声の長さは5:55です。話す速さは速く、1分あたり約203語です。音のつながりや弱く発音される音が多くなります。英語の頻出3,000語に含まれる単語は77%だけなので、語彙は難しめです。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
predator 名詞	/ˈpɹɛd.ə.tɚ/	天敵
programmer 名詞	/ˈpɹoʊɡɹæmɚ/	プログラマー
vibe 名詞	/vaɪb/	氛囲気
specimen 名詞	/ˈspɛsɪmɪn/	見本
server 名詞	/ˈsɝvɚ/	サーバー
estimate 名詞	/ˈɛs.tɪ.mət/	推定
parallel 形容詞	/ˈpæ.ɹəˌlɛl/	平行の
casino 名詞	/kəˈsiːnəʊ/	賭場, カジノ
sponsor 名詞	/ˈspɒn.səː/	スポンサー
variant 名詞	/ˈvæɹi.ənt/	変体, 変種
meanwhile 副詞	/ˈmiːnwaɪl/	その間に
relative 名詞	/ˈɹɛl.ə.tɪv/	親戚, 身内
extent 名詞	/ɪkˈstɛnt/	程度
format 名詞	/ˈfɔːɹ.mæt/	書式, フォーマット
founder 名詞	/ˈfaʊ̯n.dəː/	創設者, 創立者

動画に出てくる句動詞

単語	意味
find out 動詞	見出す, 調べる
check out 動詞	試験する, 検査する

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	has changed · have emerged · you've mutated
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	is now endangered · was also generated · is nerfed
関係詞節 who / which + 節 — 人や物について情報を加える	code, which means · guy who keeps

注意したい発音

話し手はdoesn't, hasn't, couldn'tなど、短縮形や弱形を14回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: thread /ˈθɹɛd/, threaten /ˈθɹɛt.n̩/
「sh」と「zh」の音: contribution /ˌkɑntɹɪˈbjuʃən/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, screenshot /ˈskriːn.ʃɑt/, benchmark /ˈbɛn(t)ʃmɑːk/
長い単語（アクセントの位置に注意）: developer /dɪˈvɛləpɚ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, contribution /ˌkɑntɹɪˈbjuʃən/, fundamental /ˌfʌn.dəˈmɛn.təl/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: parallel /ˈpæ.ɹəˌlɛl/, relative /ˈɹɛl.ə.tɪv/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, gravel /ˈɡɹævəl/, resilience /ɹɪˈzɪl.ɪ.əns/
/v/ — /b/ にならないように、上の歯を下唇に当てる: vibe /vaɪb/, server /ˈsɝvɚ/, developer /dɪˈvɛləpɚ/, variant /ˈvæɹi.ənt/, relative /ˈɹɛl.ə.tɪv/
/f/ — 「フ」ではなく、上の歯と下唇で出す: format /ˈfɔːɹ.mæt/, founder /ˈfaʊ̯n.dəː/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, fundamental /ˌfʌn.dəˈmɛn.təl/, fewer /ˈfjuː.ɚ/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
自分の声を録音して元の音声と比べます。predator, programmer, vibeなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: The last real programmers are dying out... - 動画で英語スピーキングを学ぶ

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