Jan 16
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In this powerful XtremePython 2025 session, Kushal takes us far beyond basic MCP server development and into the world of production-grade AI agent infrastructure built with Python. Most MCP servers collapse under real-world pressure—but this talk shows exactly how to prevent that. Kushal demonstrates the advanced async patterns, intelligent error-handling strategies, and performance-focused techniques required to build servers that stay fast, stable, and scalable under heavy workloads. Through clear examples, he walks us through handling concurrent requests, implementing smart caching layers, recovering gracefully from failures, and optimizing both memory usage and connection management. Whether you're building AI-driven systems, supporting high-volume agent workflows, or simply aiming to level up your backend engineering skills, this session delivers the practical insights needed to turn prototypes into resilient, production-ready MCP infrastructure. You can find more information about XtremePython 2025 at https://xtremepython.dev/2025.