Mentions personal use of Solveit.

Transcript context

…line. That's that's been our focus, and we both focus on that for teaching and for our own internal development. The stuff I've been working on for 20 years has turned out to be the thing that makes this all work. Stephen Wolfram should get credit for this. He was the guy that created the notebook interface. Although also lots of ideas kind of go back to Smalltalk and Lisp and APL. But basically, the idea that a human can do a lot more with a computer when the human can, like, manipulate the objects in inside that computer in real time, study them, and move them around, and combine them together. Yeah. That's what small talk was all about, you know, with objects, and APL was the same with arrays. Mathematica basically is a super powered Lisp, which then also added on this very elegant notebook interface that allowed you to construct kind of a living document out of all this. So I built this thing called nbdev a few years ago, which is a way of creating production software inside these notebook interfaces, inside these rich dynamic environments. And I found that made me dramatically more productive as a programmer. And like today, even though I've never been a full time programmer as my job, when you look at my kind of GitHub repo output, I think GitHub produced some statistics about it, and I was like, just about the most productive programmer in in Australia. You know, like it it's working. And a lot of the stuff I build has lots and lots of people use it, because it's such a rich, powerful way to build things. And so it turns out, we've now discovered that if you put AI in the same environment with a human, again, in a in a rich, interactive environment, AI is much better as well, which perhaps isn't shocking to hear. But the normal, like, you use Claude code, which I know you do and it's a very good piece of software, but the environment we give Claude code is very similar to the environment that people had 40 years ago, you know. It's a it's a line based terminal interface. You know, it can use MCP or whatever. Most of the times, it just nowadays uses bash tools, which again, very powerful. I love bash tools. I use them all the, you know, the CLI tools all the time. But it's still just it's using text files, you know, as its as its interface to the world. It's it's it's really meager. So so we put the human and the AI inside a Python interpreter. And now suddenly you've got the full power power of a very elegant expressive programming language that the human can use to talk to the AI. The AI can talk to the computer. The human can talk to the computer. The computer can talk to the AI. Like, you have this really rich thing, then we let the human and the AI in real time build tools that each other can use. And that's what it's about to me. Right? It's about, like, creating an environment where humans can grow and engage and share. It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code. Right? It's about, like, creating an environment where humans can grow and engage and share. It's like for me, when I use Solveit, it's the opposite of that experience you described with Claude Code. After a couple of hours, I feel energized and happy and fulfilled. I'll give you my take. I think that the thing that you're pointing to here is there's something magic about having an interactive, stateful environment that gives you feedback.…

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