Lenny Rachitsky: prediction

Transcript context

…I think it's probably velocity. So, platforms do have a benefit of leverage. So, in general, that's an opportunity with or without AI, for a platform to get most teams 80% of the way there. And then they don't have to reinvent those building blocks. We have more bets that we're making across the business, more things we're trying to build. So, platform mindsets are good, and it's something that is relatively more recent for Netflix to think about that being a real critical enabler. There is also the sense of a scaffolding in a world of AI. So, not just the higher velocity, but you have more people doing more types of work that are different or new, like we were talking about. And there's risk that comes with, how do you think about access and identity in that situation? How do you think about security in that situation? How do you think about shipping high quality code and design and user experiences? And so, I don't think it scales well to have each person who's building something have to go figure out, could you remind me what good looks like here? And what are the bumpers or guardrails I should keep in mind? I think we need to encode that in our paved paths and our ways of working. And for a data science or analytical field to encode, here's the source of truth data, here's how to interpret it, here's how to access it, here's what to do with it or not to do with it and to be careful with certain types of data. An organization that has thousands of people can no longer rely on tribal knowledge or I'm going to find the one person who knows this. So, this was a challenge that was there before AI. It's probably a more urgent challenge with AI. And I like the idea of using AI or any new tech to motivate... We knew this is work we needed to do. No time like the present to invest in that more heavily across the team. I wonder if another reason for this becoming more valuable is because agents are now doing a lot of work. And giving them the context, giving them the scaffolding, giving them the design language, just speeds all that up? Yeah. And one of the visions we have at Netflix is we will have so many agents that are contributing to doing work that you need to be able to reason and rationalize throughout that. The humans are the ones guiding what's the problem we need to solve. Do I feel like what we're producing is impactful and high quality output? But the work will be done by both humans and agents. And that creates velocity and benefits and it creates risks. And I think that's important, especially from an engineering perspective, that we figure out how to manage that in a way that lets people move quickly, but doesn't create undue downside or risks for the company.…

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