Скачать или смотреть Event-Driven Agentic Loop with Claude Code with Ryan Sweet

Watch the entire Superstream: https://learning.oreilly.com/videos/a...

Building AI agents that improve over time means designing systems that can learn from their own actions. In this excerpt from the recent AI Superstream, Microsoft’s Ryan Sweet explores the event-driven agentic loop using Claude Code, showing how to create agents that reflect on their performance, adapt to feedback, and evolve through structured interaction. Check it out to discover how to configure hooks, inject context at key points in a session, and use reflection to guide future behavior. You'll also learn how fractal patterns help organize agent workflows across different layers of complexity. Whether you're using Claude or other frameworks like AutoGen or LangChain, Ryan offers practical takeaways for building flexible, autonomous systems that learn and grow.

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