From Prompt to Production: Building Autonomous AI Agents in Node.js | Tamar Stern скачать в хорошем качестве

From Prompt to Production: Building Autonomous AI Agents in Node.js | Tamar Stern

AI and LLMs dominate today’s technological conversation, but understanding how to use an LLM is only the starting point. The real frontier lies in building autonomous, long-lived AI agents that can reason, reflect, make decisions, use tools, and operate independently across multi-step workflows. In this session, Tamar Stern takes you behind the curtain and into the world of production-ready AI agent architecture in a Node.js environment. You’ll discover how to construct agents that rely on LLMs as their central reasoning engine, while the surrounding system handles memory, tools, retries, concurrency, and asynchronous orchestration. This talk explores the essential building blocks of real-world agent systems, including: +Tool-driven agent capabilities +Long-term memory and persistent state Event-driven task coordination Multi-step reasoning loops with reflection and retries Concurrency patterns for scalable agent operations Architecture choices that turn simple prompts into intelligent workflows By the end, you’ll understand how to design and implement fully autonomous AI agents in Node.js—not just prompt wrappers, but orchestrated, self-directed systems ready for real production environments. If you enjoyed this talk, make sure to subscribe to get more sessions from XtremeJS. Learn more about the XtremeJS International Conference at: https://xtremejs.dev