[hadlock]

Strong agree, if there's one thing LLMs are excellent at, it's writing Terraform and Kubernetes deployments (and/or helm charts). What used to be half a day of research, trial and error, is now 20 seconds of AI churn and 98% of the time it nails it on the first try. And then point it at grafana and tell it to write you a dashboard for the new service/s. Easy peasy lemon squeezy. What used to require a team of 4 devops/SRE to support a medium sized company, can now be collapsed down into a a single part time SRE.

[d675]

as I got into SWE 4 yrs ago, this was a big part of my job as a SRE/SDET and my next job came b/c of that SRE exp which was never used, so just became an SDET.

Now am laid off, and hard to find a job...

[xlii]

I'm sorry to read that.

Unfortunately it's an industry wide problem, and it touches many areas and levels of expertise. Some believed that AI can drop costs and compressed job spaces.

It starts to bounce off but it's not back to - what I could fall - normal baseline.

[d675]

yeah. Was always the jr on a team full of seniors/staff. Always switching context, so many verticals and systems.

True startups need only senior+ and big ones don't wanna interview often.

[wiseowise]

> Some believed that AI can drop costs

And it did! For companies, not for you.

[kevmo314]

The other 2% your entire prod deployment gets deleted.

[bigstrat2003]

LLMs are pretty bad at writing those things in my experience. They will invent HCL syntax that doesn't exist, generate absurdly overwrought Helm charts, put in assumptions that don't make any sense, and so on. It's faster, and better quality, to write the stuff myself.

[lijok]

Which LLMs?

[TZubiri]

on the other hand, it might be a benefit that an AI can't spin up instances.

Do I want potential to increase expenditure by infinite percent? Or do I want to sign a contract for 2 500$/mo dedicated servers?

Let's be real the latter can handle 20k concurrent users without breaking a sweat, and that's like 99.9% of companies and projects.

[bakies]

Oh what would I do with $2,500 a month in dedicated servers..? Kubernetes.