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A registration form for a webinar on scaling AI agent development at Netflix with Claude Sonnet 4.5.

How Netflix is Using Smart AI to Help Its 3,000+ Tech Experts Build Better Products

Posted on October 28, 2025

Ever wonder how Netflix manages to update its service so quickly and keep everything running smoothly for millions of users? A huge part of it is their giant team of over 3,000 developers—the technical experts who write the code.

Now, Netflix is teaming up with Anthropic, a leading AI company, to make those developers’ jobs even easier and more effective. They are holding a special online session to explain exactly how they’re doing it.

What’s This All About?

Think of it this way: even the best builders need great tools. Netflix is building special “AI agents” for its developer team. You can imagine these agents as super-smart assistants, powered by an advanced AI model called Claude Sonnet 4.5.

Instead of developers getting stuck on complex problems or spending hours on routine tasks, these AI assistants can help them write code, find bugs, and manage the complicated systems that make Netflix work. The goal is to boost their productivity, which means they can build and improve features for you, the viewer, faster than ever.

Anthropic & Netflix are holding a webinar on Nov 20.

Learn how Netflix:
• Scales AI agent development for 3,000+ devs
• Manages internal AI infrastructure
• Measures performance & productivity
• Uses Claude Sonnet 4.5 for reliability pic.twitter.com/Gl8o6O5xAY

— NearExplains AI (@nearexplains) October 28, 2025

How Is Netflix Making This Work for Such a Big Team?

Giving a smart assistant to one person is one thing. Giving it to 3,000 people and making sure it’s helpful, safe, and consistent for everyone is a massive challenge.

Here’s a simple breakdown of Netflix’s strategy:

  1. One Central System (Centralized Infrastructure): Instead of having hundreds of different AI tools all over the place, Netflix built one main system. This makes it easier to manage, update, and control the AI for everyone at once.
  2. Clear Rules (Configuration Management): This is just a fancy way of saying they have a clear set of rules for how the AI should behave and what it can and can’t do. This ensures everyone gets a consistent, high-quality experience.
  3. Testing and Measuring (Rigorous Evaluation): How do they know the AI is actually helping? They’ve built a strong system to test and measure its performance. This includes checking the quality of the AI’s work and tracking whether developers are actually becoming more productive.

What You Can Learn from This

In their upcoming technical session, leaders from Netflix and Anthropic will pull back the curtain and show:

  • Real-Life Examples: How these AI tools are actually being used by developers right now.
  • The Blueprints: They will share their “architectural decisions,” which is like showing the blueprint they used to build their entire AI system.
  • The Proof: You’ll see how they measure success and the real improvements in performance and reliability they’ve gotten from using Claude Sonnet 4.5.

This isn’t just a “what if” discussion; it’s a deep dive into how one of the world’s biggest tech companies is using advanced AI in a practical, sophisticated way to solve a major business problem.

Interested in Learning More?

You can join the webinar to hear directly from the engineering leaders at Netflix and Anthropic.

Click here to register for the event

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