🔥 Vibe Coding My Way to AI Connected Infra: Claude, Terraform & Cloud-Native Monitoring
📖 TL;DR – What This Post Covers
- How I used AI tools to build an Azure-based monitoring solution from scratch
- Lessons learned from developing two full versions (manual vs. Terraform)
- The good, bad, and wandering of GenAI for infrastructure engineers
- A working, cost-effective, and fully redeployable AI monitoring stack
Introduction
This project began, as many of mine do, with a career planning conversation. During a discussion with ChatGPT about professional development and emerging skill areas for 2025, one suggestion stuck with me:
"You should become an Infrastructure AI Integration Engineer."
It’s a role that doesn’t really exist yet — but probably should.
What followed was a journey to explore whether such a role could be real. I set out to build an AI-powered infrastructure monitoring solution in Azure, without any formal development background and using nothing but conversations with Claude. This wasn’t just about building something cool — it was about testing whether a seasoned infra engineer could:
- Use GenAI to design and deploy a full solution
- Embrace the unknown and lean into the chaos of LLM-based workflows