The AI agent ecosystem has a language problem that nobody talks about directly: the tutorials and frameworks are all Python, but production agent systems increasingly lean on Go and Rust for the infrastructure layer. A GDE just published "Stop Using Python for Your Gen AI Apps, Use Go" using Google's Genkit. Meanwhile, Rust frameworks like echo-agent, rustic_ai, and Aura ship with features that LangChain users would recognize instantly. And Python's LangGraph and CrewAI still dominate the orchestration space. The truth is more nuanced than any single-language take. Each language has a distinct role, and the best production systems use at least two of them together. This guide helps you decide where each one fits, with real project examples and code snippets so you can evaluate the tradeoffs yourself.…