If the engineering discussion below doesn’t feel relevant, you may have options that are less expensive than running your own cloud infrastructure. We can help you confirm this.

Pre-AI infrastructure packaged features into generic modules and tools that guided (and limited) how teams deployed their products. Open source Terraform modules layered on top of AWS services. Orchestration software wrapped around Kubernetes.

Today’s AI enables us to manage even complex infrastructure without these dependencies. Flat Terraform managing AWS services. Thin Helm charts managing containers on Kubernetes. Basic tools are all you need.

Simplified automation like this usually has higher line counts and some repetition, but it’s easier to understand and maintain.

• Agents spend fewer tokens tracing it.

• Fewer code paths mean even inexpensive models can trace it without misunderstanding the flow.

• You’re never blocked because you need a feature that isn’t supported in a wrapper. You own all the code, so you can flex it as your needs change.

• Diffs are focused on what’s changing in the infrastructure instead of what’s changing in the interfaces of the wrappers. To review it, you only need to understand the outcome. You don’t need to know how the wrappers work.

• AI has encyclopedic knowledge of basic infrastructure components, and it can explain how each block of change relates to your application.

If you’re using a wrapper today, migrating away may not be a priority. If what you have is working, we can help keep the lights on. We’ll work with you to get the most value from what you have before investing in change.