#production

I learned agentic AI concepts in Python - agent loops, tool calling, multi-agent coordination, production patterns. Python works well for most of these cases. But when it comes to running an AI agent chat application at production scale - many users, real-time streaming, concurrent sessions - Go turns out to be a more appropriate choice. This post breaks down why, using GoClaw as a concrete example.

GoClaw

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