Lazar Jovanovic: prediction

Transcript context

…The other point you made here that I think is really important is that over time, these tools will do more and more of what you do manually. I've heard this from other people that are doing this full-time. Basically, vibe coding is just, they had all these workflows, all these files. And then Cursor adds them, Lovable adds them. And it's sad, "Oh shoot, I had this cool workflow now." But on the other hand, okay, now it's just doing all these second focus [inaudible 01:19:33]. A year ago, if we had an interview, your mind would be blown. Stuff that I had to do as workarounds to address shortcomings. I built a very successful course on that with Starter Story. For a year, people were like just, "Oh my God, you're the only guy in the world that knows this secret." Now Lovable natively addresses 99% of it. I can almost say, most of the stuff that I was teaching people are, I have a YouTube channel, a little bit appreciated, but there's a seven-day learn how to vibe code with Lovable series that I did in March. Completely obsolete. None of it is true. None of it is a problem anymore. All the things that I was like, "Oh, well, this is missing and that is missing." It's not missing anymore. It's natively in the product. You don't have to work your way around it. It just works. Right? So that's why, as I say, it's the horse's analogy. I don't know if you've heard of it. A lot of people are tweeting about it, which is we started building the steam machine in 1700s. It took us about 200 years to build it. When engines got built and cars were put on the roads, I think that 90% of horse population got eradicated in the US within 20 years. The person that Tweeted this works at Claude Code. So he was like, "Now, when I translated it into AI, I was hired to do a job, technical job, technical writer, whatever. I became obsolete six months later." Humans did not get the 20 years that horses did. The guy that was hired to do a thing is like, "Six months later, I need to reinvent my role. I need to evolve it into something else. " So I think there's just an evolution that's coming really, really fast. But a lot of people are scared when I'm just super excited because don't you see our roles are finally going in a direction where we're outsourcing what we hated doing anyways, right? Sitting in meetings, taking notes, doing spreadsheets. Maybe there are people that like that, but most people don't. We're just getting into a place where we're rewarded for what really matters, clarity, judgment, thinking. We're actually going to be paid to think longer and ponder longer. The longer idea simmers and gets broken down, the better because building it is going to be an instant. It's going to be like this. It's just a matter of you having so much clarity around it because guess what? If a tool is super powerful and you give it a wrong input, the output's going to suck as well. That's why I never become good enough at Claude Code, I feel, because I don't start my projects with enough clarity. And the tool is so powerful that I just misdirected completely from the get go and I was like, "Oh shoot. This is not what I wanted to do." So that's why I still see myself being good at using tools that are a little bit on the exploratory prototyping path more than on the path that elite engineers will use, for example. I love your optimism and excitement about this stuff. I think for a lot of people, say their current software engineers, PMs, designers, there's a lot of fear about the future of their careers. Are they going to be relevant? Will my software engineering skills disappear? So to follow this through a little bit. If you were to give someone advice on which skills you think will be most valuable/where AI will take on more and more, this momentum you're seeing of where AI is filling in more and more gaps, what would your advice be of what you think people should focus on? What will continue to be valuable in the future?…

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