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Then what's the point of AI?




To write code. They still depend on / benefit from abstractions like humans do. But they are (for now) a different user persona with different needs. Turns out you can get better ROI and yield ecosystem benefits if some abstractions are tailored to them.

You could still use AI to implement the MCP server just like humans implemented Open AI for each other. Is it really surprising that we would need to refactor some architecture to work better with LLMs at this point? Clearly some big orgs have decided its worth the investment. You may not agree and that's fine - that happens with every type of new programming thing. But to compare generally against the "marketing hype" is basically just a straw man or nut picking.




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