The Creator of Claude Code on The Hottest Piece of Software in the World
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What is the main topic discussed in this episode?
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Hello, and welcome to another episode of The Odd Lots Podcast. I'm Joe Wiesenthal.
And I'm Tracy Alloway.
Tracy, so I think the most embarrassing moment for me in... Go on.
It's the most exciting way you've ever started a podcast, Joe.
Maybe not the most embarrassing way. The moment I felt like I was making myself a little stupider or something like that in 2026 was I asked Claude Code to clean up all the many screenshots that I had on my desktop. Oh, yeah. So I was like, just put that. I think you told me you have all these screenshots on my desktop, various charts and stuff. And I was like, cloud code, can you do this? And in that moment, I realized that I was essentially outsourcing my computer to another computer. There's big data centers, et cetera, that Anthropic has. And rather than just like taking a few seconds, like drag and drop some screenshots, I was like, no, I'm going to have another computer use my computer for me.
That just seems efficient. But here's the big question. Did it do it correctly?
Yeah, absolutely. Yeah, it was perfect.
All right, because you hear the stories about agents going off the rails, like there was some software company or like car rental software company. And I think they had an agent that deleted their entire database and then admitted that it had violated its core principles in doing so, but didn't have an explanation as to why.
There's definitely been times in my cloud code usage, which is not very sophisticated, where it'll just ask me, like, do I do this or this? And I have no idea what it's asking for. And I just like hit yes.
Hesitantly pressing the enter button.
No, I wish I could say hesitantly. I don't even think about it. I just like, yes, so far, no disasters from that. But, you know, I just like, yeah, I assume it's right. And maybe, you know, it's sort of like playing, what's the reverse slot machine where it's like good every time, but every once in a while, it's like really disastrous.
Yeah.
I guess Russian roulette kind of would be the example of that. But yes, obviously, setting all this aside, I mean, I think 2026 has been, in terms of software, do you hear everyone's talking about cloud code?
Absolutely. So we also had the big market scare where we saw a bunch of software companies get hit because there was this perception that Cloud Code would basically be able to do everything.
Yeah. There was a day where Anthropic announced, here's something new. I don't even think people, people were so trigger happy. They didn't even look and see what it was. It's like, here's a new thing for financial services. And you just see all the financial services stocks fall, et cetera. But it does raise some questions like, you know, here's a big AI company. What will be the limits of where they go? What kind of businesses they can get into and so forth? But then even without that, like, what is the future of software engineering? What is the future for people with a laptop?
The future of workflow, right? Because it's plausible in the future. I'm just going to interact with my computer in every single way through some sort of agent, right?
Yeah. All right. Well, let's talk more about Cloud Code. We really do have literally the perfect guest because we are going to be speaking with the creator, the head of Cloud Code at Anthropic, Boris Cherny. Boris, thank you so much for coming on the podcast.
Yeah, thanks for having me.
Why don't you give us like the very short version of like how did Cloud Code came about or what was what is it and where did it come from?
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Chapters
5 chapters
1
What is the main topic discussed in this episode?
0:00–16:01
2
How did Claude Code originate at Anthropic and what problem was it designed to solve?
16:01–35:04
3
Which model improvements (Opus/Sonnet/Fable) drove Claude Code’s rapid user growth?
35:04–42:30
4
How does Claude Code reduce prompt-injection and other safety risks for enterprises?
42:30–55:06
5
How do engineers balance an agent’s goal-seeking behavior with safe constraint handling?
55:06–1:08:37
Speakers
9 identifiedMore from Odd Lots
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