Kubernetes, AWS, Cloudformation and Terraform etc sort of work is still not good with AI.

The current AI code rocket ship is VSCcode + Perl/Python/Node+ReactJS + Co-Pilot.

This is basically a killer combination. Mostly because large amounts of Open source code is available out there for training models.

Im guessing there will be an industry wide standardisation, and Python use will see a further mad rise. On the longer run some AI first programming language and tooling will be available which will have first class integration with the whole workflow.

For now, forget about golang. Just use Python for turbo charged productivity.

K8s is probably particularly bad because their package convention basically requires vanity imports, and I would wager the vanity names people choose are wildly inconsistent.

It also doesn’t help that many packages have 3+ “versions” of themselves, so a vanity import named “core” could be v1alpha1, v1beta1 or v1.