シャドーイング練習: How To Dominate 2026 as a Software Developer - 動画で英語スピーキングを学ぶ

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It's scary in the software developer job market right now.
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Entry-level job postings are down and computer science unemployment is rising.
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Well, I'm about to show you why this downturn could be the best thing to happen to your career.
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Right now, there's a huge debate about why all this is happening.
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Is AI really replacing developers?
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Are companies simply offshoring?
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Or is this maybe a market correction?
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Well, here's my take.
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I don't care.
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And you shouldn't care either.
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Because the fact is, jobs are scarce, which means that you have to do something about it, regardless of the root cause.
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So while everyone else is fighting about why, they're missing what matters most.
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What are you going to do to save your career?
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I'm giving you a complete project that you can build on to become the developer companies want.
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But first, you need to understand what these disappearing jobs actually mean.
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While most developers panic and send hundreds of applications, some engineers land jobs in three to six months.
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And they're not smarter or luckier, they just understand something that 90% of people miss.
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And here's what's actually happening with real data, not opinions on X.
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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%.
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But software engineering as a discipline will go through the next decade.
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The market itself is not shrinking, it's filtering.
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You cannot just do a 4-week bootcamp for a 6-figure offer anymore.
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You can't only know HTML and land a safe career.
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Nowadays, you need to become a valuable backend, product or full stack engineer engineer, not just a regular developer but an AI native one.
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An engineer will understand systems with AI tools
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and can do what used to take three developers maybe in a couple of weeks.
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So companies stopped hiring developers, they started hiring engineers more and here is why you should be happy about that.
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Number one is that competition for real engineering positions just got easier.
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Bootcamp graduates would only know React, well they're pretty much out because the market has filtered them
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if you learn how those systems actually work on a full
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stack perspective you'll eclipse most competition from a web development standpoint
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now two people who get hired do get paid more
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because one engineer can be worth much more of their composition thanks to ai coding
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and implementing more scalable ai solutions you don't need to be a 10x engineer
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which rarely exists just knowing how to use ai properly for coding
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and building systems gives you a 10 to 25 edge which in a real job market is huge And three,
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you're forced to learn skills that matter for 30 years and not three months, like the latest and greatest framework.
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Maybe in 10 years coding is automated, but that speculation doesn't help your career today.
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Focus on accelerating your work with AI and not pretending engineers and coding are obsolete.
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Now, this is not bad news.
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The market is saying, learn to actually engineer and we'll pay you what you are worth.
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So let me show you what a real engineering project plus AI looks like.
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Not theory, a real project that you can adapt.
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This is a voice transcription tool with a Python backend with FastAPI, a TypeScript React frontend, local whisper model for transcribing,
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and LLM integration, cleaning up the transcriptions.
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And you can get this entire project for free in the link below.
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Now, I want you to grab it because this type of project gets you hired in the next year.
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And when creating this, I didn't just prompt ChatGPT to make me an app.
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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,
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and how to make all this production ready, not just a tutorial.
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Did AI help during the coding?
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Absolutely.
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Get a copilot and clock code, probably wrote 70% of the boilerplate.
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But I understood 100% of the code that I generated.
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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.
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So why does that get you hired if you have the same skills as me?
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Well, first, it proves that you understand the full stack and not just React or frontend, not just tutorials.
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You understand how systems communicate, how to integrate AI, and how to think about architecture like a real engineer.
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Second, you can solve a real problem.
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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,
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which is a concrete project that everyone can understand.
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Third, it shows that you're an engineer who understands what you're building, and you're not just a code monkey.
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In real technical interviews, you still need to code.
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You still need data structures and algorithms, even without lead code problems.
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So without a good understanding of the fundamentals you will fail
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system design interviews you're not going to get away with that
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if you only do vibe coding ai hasn't replaced real engineers
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it's made the engineering skills more important to truly stand out
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but the bar went up and not everyone is accepting that
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so everyone complaining is stuck competing for jobs that just don't exist anymore
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but you you can be celebrating because this bar went up
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and now you know what to do now i won't sugarcoat this.
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This path is way harder than the old way a couple of years back.
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And the old way is just go into a bootcamp, memorize syntax, spam a couple of applications and get hired.
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But that approach is now impossible.
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The new way is to learn one real full stack like Python plus TypeScript, learn AI APIs and real language model engineering,
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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,
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I built real projects, I learned fundamentals, and I specialized.
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I became a real engineer.
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If you want to follow this path, here's what to do.
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Number one, you can download this project with the link in the description below.
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Two, if you're job searching, you have to switch your strategy,
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stop with generic applications, and create projects that prove you understand the systems that the companies are looking for.
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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.
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Real engineering jobs which you can get if you're willing to put in the work.

この動画は誰に向いているのか?

ソフトウェア開発者のキャリア戦略に興味があり、英語のスピーキング力を向上させたい中級レベルの学習者に最適です。特に、IELTS スピーキング対策やビジネス英語の実践的な使い方を求める人には、職場での議論や戦略的な発言の仕方を学ぶ良い機会です。動画の中で使われる論理的な語り口は、シャドーイング(shadowspeak)の練習にも適しています。

覚えておきたいフレーズとイディオム

  • Dominate:「制覇する」「優位に立つ」。職場での目標達成を表す際に使える強い表現。
  • Market correction:「市場調整」。経済用語で、過熱した市場が正常化すること。
  • Filtering:「選別する」。動画では「市場が開発者を選別している」という意味で使われています。
  • 10x engineer:「10倍の成果を出すエンジニア」。スーパースターエンジニアを指す俗語。

これらのフレーズは、ビジネス英語の会話や作文で印象的な表現となります。特にfilteringのような動詞の使い方は、論理的な説明をする際に重要です。

発音を上達させるコツ

動画のスピーカーは、明確なアクセントと抑揚が特徴です。英語の発音を良くするためには、以下の点に注意してシャドーイング(shadow speak)を行いましょう。まず、downturnやscalableのような語尾の-rnや-bleの発音を曖昧にしないこと。次に、「the market itself is not shrinking, it's filtering」のような長い文では、句読点の間で息を吸うタイミングを覚えること。これにより、自然なリズムが身につきます。また、AI nativeのような複合語は、「エーアイ ネイティブ」ではなく、一つの単語のように繋げて発音することが重要です。これらのポイントを意識することで、スピーキングの流暢さが向上し、IELTS スピーキング対策にも役立ちます。

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
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 automated · be created · is stuck
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 filtered · hasn't replaced
関係詞節 who / which + 節 — 人や物について情報を加えるscarce, which means · people who get

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 →