Short answer: Adir Ben-Yehuda connects Autonomy's own repository and asks for a task list page. The tool adds a Kanban view, then makes it draggable and adds a Gantt view, with back-end connections, validation and accessibility handled.
From Episode 43: The AI Product Team Replacement? Inside Autonomy AI’s Live Demo, starting at 5:29.
Adir Ben-Yehuda [5:28]: So that's basically the homepage of Autonomy AI, the of the app for Autonomy AI. Very friendly, very like a simple interface. You know it probably from Bolt or Lovable or all those kind of things. Right? You can actually enter a request. The input could also be an image, Figma, even a cloud design. And then effectively, you can build everything from new or you can actually update existing screen. But and that's the big part of it. That's a big thing. Once you start working with a product, you can actually connect your own repository. So for an organization, you can connect your own repository. Instead of working in silos, like, maybe with your design system or something like this, we analyze the entire code base itself. So for a CEO of an AI company, all of a sudden, they get this firepower of another platform that can actually understand their code base, in-depth, give them a full understanding of, like, how the coding standard looks like so they can have the validation of it. Right? Understand what components they have on the code base itself, and even render the flow or render it on the product itself.
Adir Ben-Yehuda [6:36]: And from that moment on, hey, give me your summer intern. They can push things into production from that moment on. Right? So I connected our repository, our project, the Autonomy project. And effectively what I did is in our simple interface, you can actually ask here in the chat the different requests. And here on this side, we actually render in real time the results. But everything is on your platform, on your code base end to end. So the first request I had is I asked, hey, can you find a task list page for us? A component from our product that looks like a task list. And you can see in a fully autonomous way, it added a Kanban view. And you can see the Kanban board was organized without us even asking based on those tests itself. And if I'll open it for full view, you can go ahead and see the this Kanban. So all of a sudden, have a whole new feature that I very easily can send it to dev with a full pull request that is ready. What do I mean by ready? Unlike other products in the market, we understand autonomously the entire code base.
Adir Ben-Yehuda [7:34]: Right? So Face Studio sends everything with the connections to the back end, with the validations, with the testing of the product itself, with understanding like simple things like accessibility within the code itself. Again, you don't need to think. All you need to do is ask the request. We'll do everything on your code. Face to you will do everything on your code. But I decided that I don't wanna finish it there. What I asked again is on the second task, asked, now can you add a Gantt view to it. Right? And I also wanna make sure that the Kanban is draggable. I didn't ask it before, but I wanna make sure it's like fancy and it's fully draggable and so on and so forth. So in the meantime, I'll I'll show you what phase two you did. It said, okay. Great. I added a Gantt view with the time visualization of it, showing all the task itself. I made the Kanban also draggable and I made sure that the list view, the original expandable list view with all test details. So you can actually click the test themselves and it will be fully extend expandable. So now from the initial list view that I had, I have a Kanban view, fully operational. And you can see it's fully draggable from that perspective. Right?
Adir Ben-Yehuda [8:40]: So I can move it here maybe and play around. And then I'm like, okay, let's make it a little bit more fancy. Now I have a Gantt view as well. So the Gantt view itself, it looks like this. You can actually click the task.