शैडोइंग अभ्यास: I've Changed My Opinion On DEVELOPERS Vibe Coding - वीडियो के साथ अंग्रेजी बोलना सीखें
अभ्यास मोड चुनें
हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।
117 वाक्य
यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।
1
Hey guys, so I've been pretty vocal about Vibe Coding over the past year or so,
2
and most of what I've said has been pretty skeptical.
3
Watching people ship apps without understanding a single line of what was generated,
4
watching beginners get stuck the moment something broke,
5
and not to mention all the influencers pushing the idea
6
that you don't really have to know anything about software development to create successful apps and sasses,
7
which I'll never agree with.
8
However, I have changed my tune a little bit on Vibe Coding in general.
9
All right, so before we go any further,
10
let's define what Vibe Coding actually is,
11
because there's really a spectrum when it comes to coding with AI.
12
In fact, in my Coding with AI course,
13
I talk about five levels ranging from one-shot prompts with platforms like Lovable to just using autocomplete and VS Code.
14
And I think the sweet spot is right in the middle where you're letting the agent write the code,
15
but you're making the architectural decisions,
16
testing, writing spec files, etc. And that's what I teach in my AI course,
17
which I'll have the link for in the description if you're interested.
18
But to me, that's not vibe coding.
19
Vibe coding is where you're barely looking at the code at all.
20
And as the name implies,
21
you're kind of going off the vibes,
22
not the actual syntax, which is something that I've been totally against in the past.
23
However, over the past couple months or so,
24
I've been going all in with AI.
25
I've created a home lab with eight machines that's managed by my open claw Travis.
26
I have agents talking to each other,
27
assigning tasks and been creating all kinds of projects,
28
mostly things that I can use in my daily workflow.
29
So I've gotten a bit,
30
I guess, more liberal with just letting AI cook where before I would monitor and spec out every little feature.
31
The main reason that I've been able to kind of change my opinion on this is because of the models.
32
Opus 4.7 with Claude Code and GPT 5.5 with Codex
33
and even OpenClaw with GPT 5.5 are all amazing
34
if you understand how to direct these models to get the results that you want.
35
So I really don't think that we have to babysit the code as much as we did with,
36
for instance, GPT 5.3.
37
And I'm seeing much less hallucination.
38
And for the most part,
39
it does what I want on the first try.
40
Now, I know that some of that is because I've learned how to communicate with these models,
41
how to manage my context and memory,
42
how to map out my documentation and spec files.
43
So it doesn't mean that just anyone can can pick up any of these models and build a successful SaaS.
44
Which brings me to my main point,
45
I don't think vibe coding is okay under any circumstance if you don't have a foundation in software development and architecture.
46
So for instance, my mother,
47
who basically just only knows how to use Facebook,
48
will never be able to create a successful SaaS,
49
no matter how amazing the model gets,
50
unless she decides to learn software development,
51
which I know she's not.
52
And that's one thing I won't budge on and
53
if I do I want you guys to hold me to it
54
and I've seen this play out a hundred times you know
55
somebody with no real dev background uses an AI tool to build something in fact my accountant just did this
56
and told me about it
57
and had this exact experience they get version one in an afternoon
58
and they're thrilled version two is hotter version three breaks something in version one
59
and they don't know why and they ask the model to fix it
60
and the model makes it worse in a way that they can't see.
61
And now there are three layers deep in fixes that don't address the actual problem.
62
And the code base has architectural choices that nobody actually made on purpose.
63
And they can't even describe the bug clearly enough for the model to help.
64
So this is not a tooling problem.
65
It's a knowledge problem.
66
The user can't form the right mental model of what's happening because they never built the prerequisite intuition.
67
And no matter how good that model is,
68
it can only meet you where you are.
69
So even if it's smart enough to fix what's wrong,
70
you don't know where to tell it to look.
71
And even if it knows where to look and finds it on its own,
72
you can't understand the solution so that it doesn't happen again.
73
And that's only part of it, right?
74
There's a lot of technical skill that you need outside of just actual coding syntax.
75
Imagine vibe coding if you didn't understand Git or version control or didn't even know what it was.
76
If you didn't know how database tables work,
77
If you don't know how to set an environment variable,
78
you know, you don't even have the vocabulary to Vibecode.
79
And the agent is, it's going to be asking you stuff and asking you to make decisions that you don't understand.
80
And I haven't even mentioned deployment, maintenance, scaling.
81
That's all stuff that, that you need to know.
82
So with that said, you don't have to be a 20 year veteran software developer to use AI.
83
I think that people get frustrated with us sometimes because we say learn the fundamentals,
84
build a foundation, but what does that actually mean?
85
So foundation, at least in terms of a web development context,
86
it means understanding how the web works,
87
requests, responses, status codes, what happens between the browser and the server.
88
It means understanding data, how to model it,
89
how relationships work, what an index is it means
90
that you've written enough code by hand that you can read code and see it and not just skim past it.
91
And it means that you've been burned by enough bugs to recognize bad patterns.
92
You don't need a CS degree.
93
You don't need to memorize sorting algorithms or be a genius,
94
but you need to have built things from scratch,
95
debug them, broken them, fix them there's no shortcut to to
96
that pattern recognition and the model can't give
97
that to you the model can only really amplify what's already there
98
so with that said what should beginners do i wouldn't say stop using these tools these ai tools
99
that ship has sailed and honestly fighting it is is the wrong move in my opinion
100
but change what you're using them for use them to learn faster not skip learning.
101
AI is actually a really incredible tool for learning how to code and I don't feel like that's talked about enough.
102
In fact, me and my team are building on working on building a platform that merges AI with coding lessons.
103
But you can have the model explain the code that it generates,
104
type it out yourself, you know,
105
break it on purpose and try to figure out why it broke.
106
And the developers who are going to do well over the
107
next few years are not the ones who can prompt the best.
108
They're the ones who can prompt well and read code and design systems and debug under pressure.
109
The AI handles the typing.
110
You still have to handle the thinking.
111
And this is mainly towards beginners.
112
Back to vibe coding, once you get past that learning stage, vibe away.
113
However, don't make it the only way that you create
114
because you're going to forget a lot and depend on it too much.
115
So I'm not against vibe coding anymore.
116
I just think that it should be a tool,
117
not your entire workflow for every project.
ऐप डाउनलोड करें
धाराप्रवाह बोलने के लिए ज़रूरी सब कुछ
AI उच्चारण स्कोरहर वाक्य का स्कोर
IPA अभ्यासहर ध्वनि में महारत
शब्दावलीअपना शब्द भंडार बनाएँ
शब्द गेमखेलते हुए सीखें
उसी चैनल से
C12
Does Anyone Use JavaScript Anymore?
Daily ConversationWorking Adults
B22
Nobody is hiring vibe coders. Sorry
Business EnglishUniversity StudentsWorking Adults
C12
Claude Code Mods Explained: Customize Your Setup
Daily ConversationUniversity Students
B21
12 Important Concepts In the Age of AI Software Development
Business EnglishUniversity StudentsWorking Adults
FOR YOU
अनुशंसित वीडियो
C12
12 वाक्य
A Return to Code
Business EnglishUniversity StudentsWorking Adults
C14
364 वाक्य
My Vibe Coding Workflow (Step by Step Workflow)
Business EnglishUniversity StudentsWorking Adults
C11
402 वाक्य
FULL DISCUSSION: Google's Demis Hassabis, Anthropic's Dario Amodei Debate the World After AGI | AI1G
IELTS PrepBusiness EnglishUniversity Students
C15
104 वाक्य
The 7 phases of AI-driven development
British AccentBusiness EnglishUniversity StudentsWorking Adults
C12
614 वाक्य
ex-Google Senior Engineer: How to Get Hired So Fast It Feels Illegal
Business EnglishUniversity StudentsWorking Adults
C11
309 वाक्य
Claude Code: The Advanced Guide (99% of Devs Skip These Features)
Business EnglishUniversity StudentsWorking Adults
B2162 वाक्य
Modrinth Just BANNED AI Mods
Business EnglishUniversity StudentsWorking Adults
C13
208 वाक्य
AI & Education: Generative AI & the Future of Critical Thinking
Business EnglishUniversity StudentsWorking Adults
B23
194 वाक्य
People Are Mad They're Told to Learn
Business EnglishUniversity StudentsWorking Adults
C15
103 वाक्य
Everyone Is Wrong About AI Coding
Business EnglishUniversity StudentsWorking Adults
C13
273 वाक्य
mattpocock/skills: A complete AI Coding workflow, end-to-end
British AccentBusiness EnglishUniversity StudentsWorking Adults
C13
20 वाक्य
Is prompt engineering dead? Advice on optimizing AI interactions | Amazon Web Services
Business EnglishUniversity StudentsWorking Adults
इस वीडियो के साथ बातचीत का अभ्यास क्यों करें?
वीडियो "I've Changed My Opinion On DEVELOPERS Vibe Coding" में, वक्ता ने वीब कोडिंग के बारे में अपने अनुभव साझा किए हैं। इस प्रकार के वीडियो इंग्लिश स्पीकिंग कौशल को बेहतर बनाने का एक उत्कृष्ट साधन हैं। यूट्यूब से अंग्रेजी सीखें करते समय, आप न केवल नई शब्दावली और वाक्यांशों को सीखते हैं, बल्कि वक्ता की उच्चारण शैली और भावनाओं को सुनकर अपने बोलने के तरीके में सुधार कर सकते हैं। यह अभ्यास आपको अंग्रेजी शैडोइंग या shadow speech तकनीकों का उपयोग करके संवाद करने में अधिक आत्मविश्वासी बनाता है।
संदर्भ में व्याकरण और अभिव्यक्तियाँ
- वेतन प्रबंधन: वक्ता ने कहा, "मैंने AI के साथ काम करना शुरू कर दिया है।" यहाँ, "काम करना शुरू कर दिया" एक महत्वपूर्ण वाक्य संरचना है जो प्रवृत्तियों के संदर्भ में बदलाव को दर्शाती है।
- निर्णय लेना: उन्होंने उल्लेख किया, "आप असल में कोड का बहुत कम देख रहे हैं।" यह वाक्य दिखाता है कि कैसे निर्णय लेना किसी प्रक्रिया के लिए आवश्यक होता है।
- सुझाव और सीमाएँ: वक्ता ने स्पष्ट किया, "अगर आपके पास सॉफ्टवेयर डेवलपमेंट में नींव नहीं है, तो यह ठीक नहीं है।" यह अभिव्यक्ति सीमा और संभावित जोखिमों को उजागर करती है।
इन वाक्य संरचनाओं को अंग्रेजी उच्चारण में सुधार करने के लिए अपने संवाद में शामिल करें, ताकि आप अधिक प्रभावी ढंग से संप्रेषण कर सकें।
सामान्य उच्चारण के जाल
इस वीडियो में, कुछ शब्द और वाक्यांश उच्चारण में चुनौतीपूर्ण हो सकते हैं। उदाहरण के लिए, "Vibe Coding" शब्द का उच्चारण सही ढंग से करना जरूरी है, क्योंकि यह प्रवृत्ति के संदर्भ में महत्वपूर्ण है। इसके अलावा, "models" और "agents" जैसे शब्दों का उच्चारण भी ध्यान देने योग्य है। अंग्रेजी शैडोइंग के दौरान इन शब्दों का अभ्यास करें ताकि आप इन्हें सही और स्पष्ट ढंग से बोल सकें।
अंततः, इस प्रकार के व्यस्त डिस्क्शन से आप न केवल नए शब्दों को सीखेंगे, बल्कि अपने उच्चारण में भी सुधार करेंगे। लगातार दोहराने से, आप अपनी बोलने की क्षमताओं में सुधार कर सकते हैं और आत्मविश्वास के साथ संवाद कर सकते हैं।
इस वीडियो का व्याकरण
वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:
| संरचना | वीडियो में |
|---|---|
| Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है | I've been · I've said · have changed |
| Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी | syntax, which is · ones who can |
| Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है | was generated · you've been burned |
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।