शैडोइंग अभ्यास: DHH has gone completely off the rails... - वीडियो के साथ अंग्रेजी बोलना सीखें

Last week, the legendary developer and creator of Ruby on Rails, David Hannemeyer Hansen, DHH, walked into the Rails World Conference in Austin,

Texas, and made a room of over 1 ,000 Rails developers break down into tears after telling them

that writing Rails or any source code by hand is over.

It's no longer economically viable, and it's time for you to stop being a loser.

The black pill is for f*ing losers.

Don't be a loser.

DHH has gone completely off the rails and used his keynote to promote AI -generated rust, which is like the Pope showing up on Easter to talk about the benefits of atheism.

And this one's personal for me because Rails was my first framework and launched my career in software development, which ultimately led to me creating this Fireship channel.

Watching this keynote was like watching my childhood home get demolished to build a data center, but is DHH right or is just another hype man with AI psychosis?

Well, in today's video, we'll find out by looking at a variety of different skills programmers need to have

and determine if those skills are still relevant for software developers in the future.

It is September 28th, 2026, and you're watching the Code Report.

Let's start with the most vulnerable skill, keyboard martial arts.

Just a couple years ago, it was very in vogue to get good at tools like NeoVim.

And back in the good old days, memorizing hundreds of keyboard shortcuts and spending hours on a great configuration, it could actually make you write code faster.

However, if an agent is making most of your code edits now, being able to delete the contents of parentheses and three keystrokes without touching your mouse is becoming a very niche party trick.

That being said, DHH himself is a NeoVim user and is still a big proponent of command line interfaces, as long as it's not a human using them.

In the keynote, he says every app developer should provide a CLI for developers.

The only caveat is that command line interfaces are no longer for humans.

It is your obligation to deliver those f*ing CLIs by next Friday

so I can use your application without actually ever having to touch it.

The bottom line is that code editors and CLI tools will still have a place, but investing a ton of time mastering them is not going to make you a more productive developer.

But what about programming frameworks like Ruby on Rails, React .js, Svelte, Angular, Tailwind CSS, and the list goes on.

All these frameworks have massive, cult -like fanbases.

Well, at least they used to, anyway.

Ruby on Rails explicitly put programmer happiness at the center of its philosophy, and I can vividly remember, back in 2008, how running Rails new felt like using a magic wand,

which would generate a full MVC crud app in a matter of seconds.

But the harsh reality is that developer happiness is dead, and any framework or programming language built around this idea is not going to end well.

Like, my horse Tinder startup is entirely framework -free.

It's built with vanilla JavaScript and Rust on the back end.

Frameworks used to provide developer happiness, but now they just get in the way, and in many cases, hurt performance.

And I'm not the only one.

DHH used to be a certified Rust hater.

This is an awful, awful, awful programming language when you subject humans to write it.

Absolutely inhumane.

But in the keynote, he shockingly announced that they're rewriting the Hey! email app, not with human -powered Ruby on Rails, but with pure AI -generated Rust.

Rust is amazing if you never, ever, ever have to look at it yourself.

With that Rust rewrite, he was able to cut CPU and memory usage by 95 % on the server.

And that's a hugely important point because the frameworks

that will actually survive in the future are the ones

that require the fewest amount of tokens and thus save developers money or the ones that achieve the highest level of performance.

Unfortunately, developer happiness is almost a non -factor now.

Over the next decade or so, maybe sooner, I think we'll see all frameworks, languages, and runtimes converge down to a single point,

like one universal language that can build any type of software you can imagine, a language optimized for tokens that no human needs to understand.

And that brings us to the big one, coding, or actually writing source code that runs software.

DHH claims he went from writing about 30 ,000 lines of

Ruby per year to now writing about 150 ,000 lines of code per month using agents

but he's just one random crazy rich dude

so he also asked the audience of 1200 developers how many

of them spend a material amount of time each week writing code show of hands holy that's about five

and if we're to trust that trust me bro poll

that means less than one percent of humans are still writing

code by hand the end of coding is not near it's already here i refuse to believe

that though so let me know

if you're still writing code by leaving a comment on this video but something doesn't add up here.

Because if coding really is dead, why haven't there been mass layoffs and why are Silicon Valley companies still hiring developers with six -figure pay packages?

Well, the good news in all of this is that writing code

or any skill closely tied to mechanical execution was never that valuable to begin with.

What's always been far more important is the ability to define a problem, then design a system that can solve that problem securely and efficiently, and AI agents just make that process way faster.

So when DHH told us all to stop being fing losers because we write code by hand.

He wasn't calling us f*ing losers because we still love Ruby on Rails.

He wasn't calling us f*ing losers because our Horsetender app is failing.

He was calling us f*ing losers because of our pessimism.

Like, dude, you have an army of coding robots at your disposal and you're blackmailing.

There's never been a better time to be an idiot with an idea.

Like, after Horsetender failed to raise a Series A, I was able to quickly pivot the idea to Donker, which is like Grindr for gay donkeys.

And now it's already expecting its first funding round, led by Sam Altman, Peter Thiel, and Tim Cook.

But I think Charlie Chaplin says it better than DHH.

You'll never find a f*ing rainbow if you're looking down.

You the people have the power to make this life free and beautiful.

The black pill is for f*ing losers.

Don't be a loser.

But one thing I'm definitely not blackpilled about is CodeRabbit, the sponsor of today's video.

Coding agents have made it so that writing code is basically free now.

But the problem is everything after that.

The teams now have 200 open pull requests, and GitHub only lets you sort them chronologically.

The CodeRabbit triage fixes this by giving you a next best action view for all of your team's PRs across every repo.

It ranks each one based on factors like security risk, review effort, and which PRs are blocking other PRs.

Then it uses that context to tell you which one to review next, how deep you want to go, and who else on your team should see it.

It'll even flag all the PRs that are safe to close, and you can fix failing builds to resolve merge conflicts right from the queue without opening a new tab.

CodeRabbit is the number one most installed AI app on GitHub, and teams using it are merging PRs four times faster on average.

Try it out for free today at the link below.

This has been The Code Report, thanks for watching, and I will see you in the next one.

📺 उसी चैनल से

✨ अनुशंसित वीडियो

315 वाक्य

how AI broke the SWE Career Ladder

Business EnglishInterview EnglishUniversity Students

542 वाक्य

The Future Of Work (& The New High-Income Skill Stack)

Business EnglishUniversity StudentsWorking Adults

273 वाक्य

mattpocock/skills: A complete AI Coding workflow, end-to-end

Business EnglishUniversity StudentsWorking Adults

270 वाक्य

Learning to code: How Pavel Durov learned to program | Lex Fridman Podcast Clips

Business EnglishUniversity StudentsWorking Adults

12 वाक्य

A Return to Code

Business EnglishUniversity StudentsWorking Adults

175 वाक्य

I Gave the MIT Commencement Speech

Business EnglishDaily ConversationUniversity Students

583 वाक्य

Episode 531: Shallow feedback and my coworker is a huge sloperator

Business EnglishWorking Adults

180 वाक्य

Is AI Doom Real... or Just Good Marketing?

Business EnglishUniversity StudentsWorking Adults

80 वाक्य

What is clean code? - Uncle Bob

Business EnglishUniversity StudentsWorking Adults

103 वाक्य

Everyone Is Wrong About AI Coding

Business EnglishUniversity StudentsWorking Adults

इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो में शैडोइंग के लिए 83 वाक्य और 1341 शब्द हैं। बोला गया हिस्सा 6:41 लंबा है। वक्ता तेज़ बोलता है, लगभग 201 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 78% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
developer संज्ञा	/dɪˈvɛləpɚ/	विकासक
loser संज्ञा	/luzɚ/	हारनेवाला
rust संज्ञा	/ɹʌst/	मोरचा, जंग
happiness संज्ञा	/ˈhæpinɪs/	Hindi: हर्ष, आनंद
skill संज्ञा	/skɪl/	कुशलता, कौशल
generate क्रिया	/ˈd͡ʒɛn.ə.ɹeɪt/	उपजाना
interface संज्ञा	/ˈɪn(t)ɚˌfeɪs/	राब्ता, वास्ता
keyboard संज्ञा	/ˈki.bɔɹd/	कीबोर्ड, कुंजीपटल
pill संज्ञा	/pɪl/	गोली, गुटिका
programmer संज्ञा	/ˈpɹoʊɡɹæmɚ/	प्रोग्रामर
trick संज्ञा	/ˈtɹɪk/	चाल
package संज्ञा	/ˈpæk.ɪd͡ʒ/	पैकेज, पैकेट
server संज्ञा	/ˈsɝvɚ/	सर्वर
rank संज्ञा	/ˈɹæŋk/	श्रेणीबद्ध
solve क्रिया	/sɒlv/	सुलझाना, हल करना

ध्यान देने योग्य उच्चारण

वक्ता 18 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे you're, don't, I'm। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: atheism /ˈeɪ.θi.ɪ.zəm/, parenthesis /pəˈɹɛn.θə.sɪs/
“sh” और “zh” की ध्वनियाँ: execution /ˌɛk.sɪˈkjuː.ʃən/, harsh /ˈhɑɹʃ/, obligation /ˌɑ.blɪˈɡeɪ.ʃn̩/, martial /ˈmɑɹʃəl/, configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/
लंबे शब्द — बलाघात सही रखें: developer /dɪˈvɛləpɚ/, universal /ˌjunəˈvɜɹs(ə)l/, mechanical /məˈkænəkəl/, execution /ˌɛk.sɪˈkjuː.ʃən/, legendary /ˈlɛd͡ʒ.ənˌdɛɹ.i/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर developer, loser, rust जैसे शब्दों पर ध्यान दें।

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
“used to” used to + क्रिया — बीती आदत या स्थिति जो अब नहीं है	used to provide · used to be
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	has gone · What's always been · There's never been
Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी	rust, which is · Donker, which is

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: DHH has gone completely off the rails... - वीडियो के साथ अंग्रेजी बोलना सीखें

OpenAI’s lead engineer was secretly a spy...

PostgreSQL in 100 Seconds

A $6.3 billion open-weight model just got embarrassed by the French...

Raspberry Pi Explained in 100 Seconds

100+ Docker Concepts you Need to Know

Git Explained in 100 Seconds

There's a new Linux distro in town for developers...

The "vibe coding" mind virus explained…

Every app on Earth is now open source... whether it likes it or not

OpenAI’s new browser feels familiar…

Did Google just kickstart the intelligence explosion?

Intel chips can’t possibly be this bad… 100% crash rate?

The most interesting "hack" in history...

7 Programming myths that waste your time

Godot in 100 Seconds

Grok 4 pushes humanity closer to AGI… but there’s a problem

Array Map in 100 Seconds

Docker in 100 Seconds

The one OpenAI announcement that can actually make you money...

How to NOT Fail a Technical Interview

how AI broke the SWE Career Ladder

The Future Of Work (& The New High-Income Skill Stack)

mattpocock/skills: A complete AI Coding workflow, end-to-end

Learning to code: How Pavel Durov learned to program | Lex Fridman Podcast Clips

A Return to Code

I Gave the MIT Commencement Speech

Episode 531: Shallow feedback and my coworker is a huge sloperator

Is AI Doom Real... or Just Good Marketing?

What is clean code? - Uncle Bob

Everyone Is Wrong About AI Coding

इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

इस वीडियो का व्याकरण

शैडोइंग तकनीक क्या है?