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Published · transcript-backed

Cat Wu: belief

23 Apr 2026 Lenny's Podcast How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

“We think about this in terms of building blocks. So... For both Cloud Code and Co-Work, the core building block is making individual tasks successful.”

— Cat Wu

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Speaker
Cat Wu
Attribution
Verified speaker
Claim type
belief
Recorded
23 Apr 2026
Publisher
Lenny's Podcast

Transcript context

…How much are you able to speak to just kind of where things are going with Claude and Co-Work as kind of the vision of it? I imagine you don't want to give away too much about the goal, but it feels like there's all these awesome features being added on top. Dispatch, control from phone and all these mobile app, all these things. What's kind of just like a way to understand the vision for all these things long term? We think about this in terms of building blocks. So... For both Cloud Code and Co-Work, the core building block is making individual tasks successful. So you want it to produce some output. You give it a clear prompt description. Is it able to consistently produce acceptable output that you're able to either merge or share with your colleagues or external audience? So the task is the core building block. As the models get smarter, the task success rate gets a lot higher. And then we see people moving towards doing multiple tasks at the same time. So multi-clotting was this big thing towards the end of 2025, and it's only increased since then. And so we see this as, okay, great. One task works, and now you can do like six tasks at a time. As the models get even smarter, the way that we were extrapolating this is, okay, Next, maybe you're gonna run like 50 calls at a time or hundreds of calls at a time. And so what is the infrastructure we need to build to enable that? At that point, you're probably not going to run everything locally on your machine anymore. There's just like not enough RAM to do it. And so we're thinking about how do we make it easier for you to manage all these? These will probably run remotely. How do we build the interface so that you as a human know which tasks you need to look into. How do we make sure that the agent is fully verifying its work so that when you look at a task and it says it's done, you can very quickly verify and fully trust that it is done to your spec. And how do we make sure that this process is self-improving so that when you do see a task that isn't done to your liking, you can give it feedback and the model will know for every future run to incorporate that feedback so it never makes that mistake again. So this is the progression that we're bringing our users along for. There's a lot of people listening, a lot of product managers, a lot of maybe founders, a lot of other cross-functional folks listening. There's a lot of worry about just how their role, just the future of their careers. What advice would you have for just people to not just survive this transition to this very AI driven world, but to be really successful to essentially just to thrive in this future? What are just like things people need to hear, need to be doing?…

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