Lazar Jovanovic

“The first understanding that I had very early on, even though just in full transparency before we begin, I don't have a technical background. I never wrote a single line of code in my life almost. I'v...”

“So that's the first step of solving for clarity. There are more, which is the second layer, but I assume you may have some questions on this one.”

“A million percent that I'm actually saving people. I'm actually going against what I should be saying. If I was thinking about Lovable, is I would be like, "No, no, just try to fix it in perpetuity," ...”

“And then it's my personal mission that resonates with me because if there wasn't Lovable, I would've never built anything, potentially in my life and I don't think that, that would've been a fun life ...”

“And it's also a productivity hack. When people ask me, "Wow, how do you ship so many things?" I'm like, "I never build just one project at a time. I build five or six. I have six Lovable tabs and I ju...”

“If it had to read the entire conversation and the entire stream of requests that you made, developing anything viable or large would be impossible because it's just like consuming a lot of time and a ...”

“So again, something that I just figured out very early on as I was building was, "Okay, if it can't remember things, my job is to provide it with reference. So let me treat Lovable or any other tool a...”

“It's like talking to a human. I really treat Lovable like a human being. So it's like, "This is what we're building." Then I build an implementation plan, which is, "This is how we are going to build ...”

“It's very important to me, again, going back to quality, taste, human nature. I need to define ... Because I'm still working with a system that is not emotionally intelligent yet, I need to define how...”

“Here's what's going to happen. Any tool, Lovable or Cursor or Claude, whatever tool you talk about is going to do this. It's going to be like, "Okay, let me start investigating." And then your code ba...”

“So it focuses ... In the next request, instead of focusing on reading, it spends another 30% of tokens trying to come up with an apology. Again, I'm not educated, but if you ever read a stream of Chat...”

“We talk about exposure time for humans. What are you exposing your agents to, as well is as important, if not even more important, before it makes code edits. Yeah.”