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> When Kubernetes clusters went down and weren't scheduling new pods, the team used Claude Code to diagnose the issue. They fed screenshots of dashboards into Claude Code, which guided them through Google Cloud's UI menu by menu until they found a warning indicating pod IP address exhaustion. Claude Code then provided the exact commands to create a new IP pool and add it to the cluster, bypassing the need to involve networking specialists.

This seems rather inefficient, and also surprising that Claude Code was even needed for this.



They're subsidizing a world where we need ai instead of understanding or, at the very least, knowing who can help us. Eventually for us to be so dumb we are the ai slaves.


Not really.

Is it really value add to my life that I know some detail on page A or have some API memorized?

I’d rather we be putting smart people in charge of using AI to build out great products.

It should make things 10000x more competitive. I’m for one excited AF for what the future holds.

If people want to be purists and pat themselves on the back sure. I mean people have hobbies like arts.


> Is it really value add to my life that I know some detail on page A or have some API memorized?

yes, actually. Maybe not intimate details but knowing what's available in the API heavily helps with problem solving


Right I’m saying I know them and where to find them. But my brain space is better occupied learning more things that exist than some mundane crap that I can delegate out.


> for what the future holds

AI mostly provides negative efficiency gains.

This will not change in the future.


Yes. This is what id expect from an intern or very junior engineer (which could be the case here)




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