A lot of you NEED to hear this
Chapters9
Affirms that viewers are not as behind as they feel and introduces the video’s purpose.
You’re not as behind as you think—focus on fundamentals, go deep on a stack, and use AI to automate repetitive tasks rather than chasing every new tool.
Summary
Brad Traversy delivers a pep talk about how developers often feel like they’re falling behind in the fast-moving AI era. He emphasizes that the feeling is real but largely an illusion, and urges viewers to put substance over sensation. The video also promotes his Coding with AI course, a 16-hour program that shares his personal process, workflows, and projects like a real SaaS called Dev Stash, alongside a partnership with Neon for free-coupon giveaways. Traversy explains the explosive pace of AI tooling—from Copilot to Cursor, Claude Code, Codeex, and more—while reminding us that depth beats breadth. He distinguishes between “keeping up” with announcements and truly understanding how to use tools in practice. The message is clear: master fundamentals—Git, problem solving, language concepts—and only then bring in AI for repetitive tasks. He shares that beginner-friendly advice hasn’t changed since 2015: fundamentals first, then deliberate specialization. The takeaway is to slow the noise, learn deeply, and leverage AI where it adds real value, not as a replacement for foundational skills.
Key Takeaways
- In AI’s fast-moving landscape, you don’t have to master every tool; focus on building a solid foundation in your chosen stack.
- Brad Traversy urges mastering fundamentals (Git, problem solving, core language concepts) because they endure beyond new frameworks.
- When you hit repetitive coding tasks, AI should scaffold and speed up work, not replace understanding or learning.
- Depth over breadth pays off: those who dive deep into a stack like PHP/MVC or React/Next.js pick up new tools faster due to transferable fundamentals.
- The Coding with AI course offers 16 hours of workflow and project-building guidance, including a real SaaS project named Dev Stash.
- Traversy cautions against hype: wait for honest takes after initial hype subsides rather than forming opinions from early release videos.
- Moderation in tool adoption is advised: avoid treating every new release as required homework and focus on your actual tech stack needs.
Who Is This For?
Aspiring and intermediate developers overwhelmed by AI tools and hype who want a clear pathway: strengthen fundamentals, pick a stack to master, and apply AI only to repetitive tasks. This video is especially relevant for anyone considering Brad Traversy’s Coding with AI course.
Notable Quotes
""you're not really behind or at least as behind as you think you are.""
—Brad reassures viewers that the feeling of falling behind is common and often inaccurate.
""the pace right now, especially around AI tooling, is really unlike anything I've seen in my career.""
—Brad describes the rapid churn of AI tools and the challenge it creates.
""focus on the meat and potatoes of your tech stack and know that it's okay to avoid all the noise.""
—A practical reminder to stay grounded and avoid hype-driven learning.
""fundamentals of a language, of a framework, tools like Git that have been around forever and will be around forever.""
—Brad emphasizes timeless skills that outlast trends.
Questions This Video Answers
- Why should I focus on fundamentals instead of chasing every new AI tool?
- How can I use AI to automate repetitive coding tasks without losing understanding?
- What is Traversy Media's Coding with AI course about and who is it for?
- How does Brad describe the current AI tooling landscape and its impact on developers?
- Should beginners wait before forming strong opinions about new tools or releases?
Full Transcript
Hey guys. So, I wanted to start this video off by saying something that I think a lot of you need to hear. And that is that you're not really behind or at least as behind as you think you are. I know that it feels every day there's something that you just need to know or you need to learn. And if you're not on top of it all, then you're somehow failing. And I also know that feeling is very real. And I get it more than you know. And I'll give you a real example of what I mean.
So, let's get into it. Hey guys. So, this video doesn't have a sponsor. Instead, I wanted to tell you about my coding with AI course that I just launched. Now, if you've known me for some time, you know that I always try to give my honest opinion. I hate all the overhyping when it comes to the current state of the industry and different tools, whether it's something I like or not. And my job is to to teach and prepare you, not just tell you what you want to hear. Now, of course, the current thing we're dealing with is the whole shift to AI development, which of course has its pros and cons, but it's something that just can't be ignored.
And for that reason, I put together my coding with AI course, which consists of 16 hours of learning a solid but simple workflow and project building to get you started with AI coding. And in this course, you'll learn about my personal process, my approach on how I work with AI to create real projects. and you'll learn about tools, workflows, testing, MCP, sub aents, and much more while building a real SAS called Dev Stash. And I want to give a huge thanks to neon.com who partnered with me and purchased a,000 coupons of the course to give away, which is awesome because they really didn't have to do that.
And they'll be doing their giveaways on their social platforms. So, be sure to pay attention when they do so you can get a free copy if you can't afford to buy the course. And I'll also be sure to share the giveaways on my socials as well. So if you're interested, I'll have the course and the social links in the description. Right. So I'm just going to give you a quick example and actually what what prompted me to make this video. So I was on Discord on my Traversy Media server a few days ago and someone had mentioned a tool, a new AI tool, and I told them I hadn't gotten around to trying it yet.
And as I said that, I was feeling like a sense of of like embarrassment or slight shame because I haven't tried it yet. And you know, I've been doing this almost 20 years, running this channel, actively building products, writing code every single day. And I felt embarrassed for not knowing some tool that dropped two weeks ago. And I caught myself and thought, why haven't I tried it yet? And it's because I spent the last, you know, four months or so going all in on my AI course. We've been working on a teaching platform, building side projects, managing the channel, managing the business.
I've been doing meaningful things of substance, but I still felt behind, you know, and that's that's the illusion that I'm talking about. Uh especially being a content creator because I feel like I'm really supposed to be on top of everything. But I see a lot of you guys feeling that same way, very overwhelmed and feeling like you're expected to to master every new tool and be on top of every every new piece of tech news that's released. But the reality is that that's not really possible unless you you aren't really doing anything of substance. So the pace right now, especially around AI tooling, is is really unlike anything I've seen in my career.
You know, just as a quick overview, we had GitHub Copilot, which basically was the only game in town for a while, and we all got used to that. But then overnight, we just had Cursor blow up. Wind Sururf came out. People said that was the new best thing. Then Claude Code was was released a few months later, became the most a uh most used AI coding tool among professional developers. Then Open AI dropped Codeex. uh Google launched anti-gravity, then AWS with Kirao, and a bunch more. And and and these are serious, you know, big AI coding tools competing for your attention.
And that's just one category. That's not counting things like the the frameworks, the meta frameworks, the bundlers, runtimes, libraries. There's just so much out there. And social media just makes it so much worse. you know, something drops on a Monday and and by Wednesday, everyone on Twitter and YouTube seems to already be an expert on it and you have full guides being released on something that was literally released 2 days ago. And that can make you feel like you're the only one that's still trying to figure things out. But the truth is, most people are in that same exact boat.
You know, it it's just that the influencers are the loudest. And this definitely it doesn't pertain to all content creators. I think there's a a big difference between a content creator that's a teacher, someone that tries to help people, and a tech influencer, which is someone that tries to influence people. And a lot of the influencers, they have these pre-made scripts, and they basically just replace the name of the tool and and some of the other stuff. And ultimately, it's the same crap. But yeah, nobody's keeping up with all the new tech. I know it can seem that way, but the the people that look like they're keeping up usually aren't going very deep on any of it.
And uh a lot of them are just being paid to say what they say. Um a lot of in fact some of the account popular accounts on Twitter, you can tell that they have AI generate their opinions so that they can just post every hour and you know get that engagement, get those clicks because to a lot of people on social media, that's really all that matters. And I hate that because it makes people that are actually trying to learn feel like they're way behind when they're really not. Um, you know, they're really doing the right things, learning the fundamentals and so on, but they feel like, you know, this I'm I'm not doing it right.
Um, also there's a real difference between keeping up and actually understanding something. You can keep up and and watch every announcement video. you can follow every thread and and still not know how know how to use any of it when you actually sit down to build something. So to me that's not really learning and knowing that's more of just consuming. You know when you're constantly jumping to the next thing you never really get good in anything. You never get great at anything and you end up with a shallow understanding of 20 tools instead of a real understanding of a few.
And the irony is that people who go deep on the fundamentals, they they pick up new tools faster anyway. That that foundational knowledge, it transfers. And trust me, I I know all about this because of the nature of what I do. I I tend to be a jack of all trades but master of few, you know, because I teach and I need to know a huge range of topics. However, that's never my advice, you know, that's not my advice to a regular developer that's not going to be teaching. Uh I always say to explore and and find what really clicks.
That's the point of you know making all these crash courses and stuff. But once you find that specific tech stack then become a master of that stack. You know I did this back in the day with PHP and and MVC frameworks and then of course more recently React and the next next.js ecosystem. And diving deep is just so much more rewarding than if if you're just moving from from technology to tech technology. You get a lot more passion when you're really good and you're diving in deep to something. Um the funny thing is that even though things have changed so much over the past 2 years, if a beginner asks me what they should do to be a developer, my answer is still the same as it's always been whether it was 2015 or now.
And that's the fundamentals. the fundamentals of a language, of a framework, tools like Git that have been around forever and will be around forever, problem solving, things that that don't expire. You know, I never recommend any AI tools to a beginner. My tip is that when you find yourself doing repetitive tasks over and over, that's when you bring in AI. You know, like let's say that you've built enough REST APIs in Express or Django or whatever it is that you use. You know, you know exactly how to how a route handler is structured. You know how middleware works.
You understand how to handle errors. You've written the same CRUD endpoints enough where it's just it's basically just muscle memory. And at that point, letting AI scaffold out a new set of routes for you is totally fine. That's that's what I believe AI is for. And I think it's great for that. You know, I'm definitely not not against AI. I mean, I just did a course on it. I'm against how some beginners approach it. Um, now my my advice on the the whole content pipeline of tools being released released every day. Stop treating every new release like required homework.
You know, you don't have to have an opinion on everything by Tuesday. Uh, also, if if something was just released, don't pay attention too much to what people say online. the honest takes, they really come out after the hype dies down because then people actually had time to use it and not just read announcements and change logs and make hype videos and and Twitter posts for engagement. You know, focus on the on the meat and potatoes of your tech stack and know that it's okay to to avoid all the noise. But that's it, guys. As always, thanks for watching and I will see you next
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