What inspired the founding of Autonomy AI?

Short answer: Adir Ben-Yehuda says his 10-year-old son builds on Lovable, which made him ask why non-technical people cannot be part of deployment. He says current AI coding products rewrite components instead of reusing the code base.

Watch this answer from Episode 43

Watch this answer from Episode 43 (starts at 17:36) · Episode 43 notes and transcript

What was said on Built This Week

From Episode 43: The AI Product Team Replacement? Inside Autonomy AI’s Live Demo, starting at 17:36.

Sam Nadler [17:35]: Very cool. So lastly, I wanna jump into the news quickly. But, a, I think you touched upon it, but, like, tell us a little bit about the origin story of how like, what was the light bulb that went off that led you to, launch this company?

Adir Ben-Yehuda [17:50]: Yeah. So me and my two other cofounders, right, I think the one thing we saw across the board is you people and companies are still giving more and more, I would say, better shovels on the same workflows. And what we wanted to do is we wanted to challenge this. Right? I have a son. He's 10 years old. And he keeps building things on Lovable and bunch of other things. Right? And then I ask myself, why can I have him work as a summer intern? Right? Like what kind of interface do I need to enable him? Right? This is definitely not child labor if this well, it is recorded. But you get the point. Right? It's it's like he can have fun. We can have fun together on those kind of things. But then the question we ask is like, why can we enable non technical individuals to really be part of the deployment? Why do we actually need engineers on the flow itself? Why do we actually need all those cumbersome processes in the middle?

Adir Ben-Yehuda [18:43]: And that's what we try to challenge. Right? And we started looking at the problem itself. We kind of like looked at the concept of really understanding the code base and how we can actually create real reuse of the code base itself. If you look at your current products, AI products, coding products, they're not really using the code base. They keep like running everything on the code base itself. Maybe they have a bigger context window, but they will rewrite components. They won't reuse components, right? And those are this is where problems are starting. When you have a person who is non technical, doesn't know what to do with it, and that's where it hits us. Right? We had a huge gap still in the market that we can come in and actually transform how our company works, not users, companies work.

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