[xdc0]

If you are in charge of that tooling, how do you ensure the correctness of the work? Or is it that at this point the responsibility goes one level higher now where implementation details are not important or relevant at all and all it matters is it behaves as described?

[yunnpp]

Just look at what they are stating:

> that did exactly what I needed

> I have zero knowledge of k8s, helm or configmaps.

Obviously this is not anything resembling engineering, or anything a respectful programmer would do. An elevator that is cut lose when you press 0 also works very well until you press 0. The claims of AI writing significant chunks of code come from these sort of people with little experience in programming or engineering in general, SPA vibe coders and what not. You should tremble at the thought of using any of the resulting systems in production, and certainly not try to replicate that workflow yourself. Which gives you a sense of how overblown these claims are.

[Daishiman]

> The claims of AI writing significant chunks of code come from these sort of people with little experience in programming or engineering in general, SPA vibe coders and what not.

I'm sorry man but I've been doing this for 25 years and I've worked and studied with some extremely bright and productive engineers. I vouch for the code that I write or that I delegate to an LLM, and believe it or not it doesn't take a magician to write a k8s spec file, just patience to write 10 levels of nested YAMLs to describe the most boring, normal and predictable code to tell your cluster what volume mounts and env variables to load.

[noodletheworld]

> I have zero knowledge of k8s, helm or configmaps

…

> I vouch for the code that I write or that I delegate to an LLM, and believe it or not it doesn't take a magician to write a k8s spec file…

I have been writing code since 1995.

That has zero relevance to my skill at rolling out deployments in a technology I know nothing about.

One of the two things you’ve said is false:

Either a) you do know what you’re talking about, or b) you are not confident in the results.

It can’t be both.

It sounds to me like you’re subscribed heavily into a hype train; that’s fine, but your position, as described, leaves a lot to desired, if you’re trying to describe some wide trend.

Here my anecdote: major cloudflare outages.

Hard things are hard. AI doesn’t solve that. Scaffolding is easy; ai can solve that.

Scaffolding is a reliable thing to rely on with ai.

Doing it for K8s configuration, if you don’t know k8s is stupid. I know what I’m talking about when I say that. Having it help you if you do know what you’re doing is perfectly legit.

Claiming it did help when claiming you have, and I quote, “zero knowledge” (but you actually do) is hype. Leave it on LinkedIn dude. :(

[Daishiman]

> Either a) you do know what you’re talking about, or b) you are not confident in the results. It can’t be both.

You've been coding for a lifetime yet you don't seem to get that certainty in software is a spectrum? I have sufficient confidence in the output of LLMs to sign my name under the code it writes when putting up a PR for a specialist to read. That's good enough for 90% of the work that we do day-to-day. You think that's not hype-worthy?

> Doing it for K8s configuration, if you don’t know k8s is stupid. I know what I’m talking about when I say that. Having it help you if you do know what you’re doing is perfectly legit.

"Knowing" k8s is an oxymoron. K8s is a profoundly complicated piece of tech that can don insanely complicated things while also serving as a replacement for docker-compose or basic services that could have been hosted on ECR. The concepts behind basic k8s functionality are not difficult, but I saved myself two weeks of reading how to write helm spec files, a piece of knowledge I have no interest in learning because it doesn't add any appreciable value to the software I produce, and was instead able to focus on getting what I needed out of my cluster automation scripts.

This really isn't that complicated to understand. I don't care for being a k8s expert and I don't care for syntactical minutiae behind it. It isn't hype that I now I only need to understand the essential conceptual basics behind the software to get it working for what I need instead of doing a deep dive like I had to do years ago in when reading similar docs for similar IaC producs to get lesser functionality going.

[Daishiman]

Because after 25 years of coding and a dozen infrastructure description languages I know that you test your code and you get someone expert in the field to look at your PRs.

LLMs are _really_ good at writing infra code if you know how infra works, believe it or not. And the ultimate responsibility still lies in human beings for code ownership.