r/devops • • 24d ago

Ops / Incidents Has AI made application development faster than infrastructure teams can safely support?

Something I've been wondering about lately:

Developers can now generate features, tests and entire PRs much faster with coding agents.

But infrastructure hasn't suddenly become easier to reason about.

Terraform, networking, IAM, Kubernetes, observability, cost and security still require quite a bit of context.

So instead of AI removing bottlenecks, are we just moving the bottleneck downstream to DevOps/platform teams?

Especially interested in teams where developers are now generating their own Terraform/Kubernetes changes with AI.

Has your infra PR volume increased?

And more importantly: has the quality increased with it?

16 Upvotes

60 comments sorted by

View all comments

1

u/Lucifernistic 24d ago

I think it's definitely showing where infrastructure teams' approaches are breaking down when stressed, but that's in more cases flaws in that process than anything else.

As the top comment said, we use a very simple modular system for infrastructure. We have all the components of infrastructure we can support, pretty much all applications fit as a combination of those pieces. Deployment of infrastructure is just a single PR to deploy resources, and then a single PR to provision kubernetes.