The Problem Most engineers deploy to Kubernetes by clicking buttons in a UI. I built Archnet — a fully automated Internal Developer Platform What is an Internal Developer Platform? An IDP is the infrastructure layer that sits between your code How code gets deployed How secrets are managed How the system monitors itself How failures get detected and fixed Most companies pay Humanitec or Backsta
Everyone told me I needed Python for AI. I didn't listen. Here's what happened. Let me be real with you. Every time I say "I'm building an AI agent," people assume I'm wrist-deep in Python virtual environments, pip dependencies, and a LangChain tutorial from 2023. And when I say "in Java?" — I get the look. You know the one. So I built it anyway. A fully functional AI agent. With tool use. With R
We had ArgoCD running perfectly. Every deployment was reconciled from Git. Drift detection worked. Rollbacks were one-click. Our GitOps setup was clean. Developers still couldn't provision a staging environment without pinging the platform team. That gap — between "GitOps in place" and "developers can actually self-serve" — is where most platform engineering teams get stuck. GitOps solves a real p