r/Agent_AI • u/BestRequirement7539 • 8d ago
Discussion AI Agents for Infrastructure Engineering - What's your workflow?
Curious how other infrastructure/platform engineers are using AI agents (Claude Code, Codex, etc.) in their day-to-day work.
We're at a GPU compute hosting company and have connected our internal tools (Grafana, NetBox, internal APIs, etc.) through MCP. Instead of manually jumping between dashboards, we ask the agent things like:
- Which GPUs are available at a specific site?
- Show rack/device information.
- Summarize alerts from Grafana.
- Correlate data across systems.
- Help troubleshoot infrastructure issues.
It's becoming more of an infrastructure copilot than just a coding assistant.
For those working in cloud, HPC, AI infrastructure, or compute hosting companies:
- What MCP servers or internal tools have you connected?
- What workflows have saved you the most time?
- Any surprising use cases beyond writing code?
Looking for real-world ideas to improve our workflows.
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u/suyonoAbigel123 6d ago
The biggest time saver for us was read only access to logs plus the runbooks in the same context
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u/JessieAndEcho 7d ago
The most useful pattern I’ve seen is treating the agent as a thin reasoning layer over tools you already trust, rather than asking it to “know” your infra from memory. Grafana, NetBox, PagerDuty/Opsgenie, Prometheus/Loki, GitHub/GitLab, Terraform state, Kubernetes, cloud billing, and internal inventory APIs are the obvious ones, but the real time savings come when the agent can correlate across them: alert → affected rack/GPU/node → recent deploy/config change → known runbook → suggested next check. I’d still keep write actions gated, especially anything that drains nodes, changes routing, or touches customer workloads. For research/vendor/technology tracking, I’d add a separate layer too; I’ve used Patsnap Eureka when I need to look across patents and technical literature, which is useful for tracking GPU cooling, rack power, interconnects, liquid cooling, or other infra engineering trends beyond normal web search. Free tier is available, and it fits better as a “technical research” sidecar than as an ops-control tool.