Stop Using Python for Your GenAI Apps, Use Go and Genkit Instead

Taking an AI agent from demo to production means solving six concrete problems: config and model governance, state and memory design, security boundaries, evaluation pipelines, and operational monitoring. Prototypes break at scale in predictable ways — shared state, hardcoded secrets, no observability. This guide gives engineers a structured path through each decision, with architecture patterns, security threat mitigations, eval gate setups, and monitoring strategies for real production deployments.