AI DevOps is becoming real — but it is much bigger than asking ChatGPT to generate Terraform or Kubernetes YAML.
We are starting to see Agentic DevOps, AI SREs, autonomous incident investigation, agentic CI/CD pipelines, agentic skills, AI Platform Engineering and production AI infrastructure emerge at the same time.
Watch this complete episodes to get my insights on each of these points and where I see its going based on my 20years of experience in Ops/Devops and what I have been experiencing since last two years of working on AI + Devops intersection. Following is the research I did which you could use as a reference.
In this episode, I research what is happening across the AI + DevOps ecosystem and share my perspective on where I think this is heading.
We explore:
AI DevOps vs Agentic DevOps vs AIOps
AI for DevOps vs DevOps for AI
AI SRE and autonomous incident investigation
GitHub Agentic Workflows and agentic CI/CD
AI-powered release readiness and root cause analysis
Agentic Skills and turning runbooks into executable knowledge
Coding agents such as Claude, Codex and Copilot
Agent harnesses and provider-agnostic agents
Hermes Agent and declarative agent architectures
MCP vs traditional CLI tools
Safety, approvals, RBAC and human-in-the-loop systems
GitOps as a safety mechanism for autonomous agents
AI Platform Engineering
Kubernetes for AI workloads
GPU infrastructure, DRA, Kueue and AI scheduling
LLM observability
AI FinOps
Production AI Engineering
Where DevOps, SRE and Platform Engineering careers may be heading
One of the biggest changes I see is this:
The valuable DevOps skill is moving from remembering commands to applying judgment.
AI can increasingly generate syntax and execute tasks. But someone still needs to understand architecture, reliability, security, cost, production systems, guardrails and when an AI agent should — or should not — be allowed to act.
That creates an enormous opportunity for experienced DevOps, Platform Engineering and SRE professionals.
If you’re working in DevOps, SRE, Platform Engineering, Kubernetes, Cloud or Infrastructure and trying to understand how AI changes your career, this episode is for you.
Subscribe if you want to follow my exploration of AI DevOps, Agentic DevOps, AI Platform Engineering and Production AI Engineering.
Let me know in the comments what you want me to explore next — AI SRE, Agentic Skills, Hermes, AI infrastructure, GPU scheduling, agentic CI/CD, guardrails or something else.
Resources and my Mindmap:
GitHub Agentic Workflow : https://github.blog/changelog/2026-06-11-github-agentic-workflows-is-now-in-public-preview/?utm_source=chatgpt.com
DevOps Agent Kit by Cloudbees (https://www.cloudbees.com/blog/how-to-build-devops-agent?utm_source=chatgpt.com)
Goose Harness/Agent by Block : https://goose-docs.ai/
Devops Kit by CloudBees : https://cloud.google.com/devops
AWS Devops Agent : https://docs.aws.amazon.com/devopsagent/
Azure SRE Agent : https://azure.microsoft.com/en-us/products/sre-agent
