It should resonate here. The thesis is that good design principles are transferable between humans and agents. So focus on solving important problems and build well designed tools and documentation to get there, you don’t need special design considerations just because agents

I don’t know about the startup space, but in AI for science people are spending time building MCP wrappers around poorly designed APIs instead of redesigning the API or building an abstraction layer that humans can also use. That seems like a mis-allocation of effort