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Learn why relying solely on AI-generated code for production applications leads to critical failures and discover how to build scalable, production-ready systems in this 72-minute technical talk featuring AWS Hero Brian Hough. Explore the limitations of "vibe coding" with GenAI tools when applications need to handle real-world production demands, including fragile APIs, authentication gaps, unexpected AWS costs, and scaling challenges. Examine a case study of transforming an AI-generated MVP into a robust application capable of serving millions of users through proper infrastructure as code implementation, API scaling strategies, observability integration, and resilient system architecture. Master practical techniques for evolving beyond basic AI-assisted development using tools like Amazon Q, Bedrock, and code copilots to create applications that maintain performance and reliability under production pressure. Access accompanying GitHub repository materials to practice implementing the demonstrated solutions and architectural patterns for building enterprise-grade applications that extend beyond initial AI-generated prototypes.
