k9s (k9scli.io) supports this directly.

Sure, if you want to use an LLM to produce code that works you need to have enough knowledge and experience to be able to review and, if necessary, request changes.

However, another (IMO, even more powerful) aspect of LLMs, is their utility as a learning tool. They excel at imparting knowledge about new concepts, because they act as a personalized teacher.

I find it doubtful that use of LLMs will result in less experienced and knowledgeable engineers in the future.

You can pass multiple return values of a function as parameters to another function if they fit the signature.

for example:

  func process[T any](value T, err error) {
    if err != nil {
      // handle error
    }
    // handle value
  }

  for {
    process(fetchFoo(ctx))
    process(fetchBar(ctx))
  }

This situation is obviously constructed, but if you were in it and unhappy about it, it would be your own fault for misunderstanding what you're paying Spotify for.

Coffee, psychedelics and alcohol are drugs just like heroin. Whether you believe they are useful to consume is a different matter.

https://youtu.be/rSKMYc1CQHE?si=pXdsHlQSCpw8nY8m

The GitHub repository also contains links to some of the research papers used to implement the simulation.

https://github.com/SebLague/Fluid-Sim

Cutting back on industrial agriculture is sorely needed from an environmental standpoint, as well as reducing food waste. Solving starvation requires different solutions, such as improved distribution, as well as political stability.