Inspiration

What is relates with AI for DevOps

What it does

Looking for Prompt Engineering (LLM), Prompt Engineering (Zero-Shot, Few/Multi-Shot, CoT)

How we built it

Looking for how this LLM helps to DevOps

Challenges we ran into

How to implement in the companies

Accomplishments that we're proud of

• AI Agent : GitHub Copilot, Bolt.new, Google AI Studio, ollama (API/CLI) • AI Chatbots : ChatGPT, Claude, LLaMA, deepseek, NLP&ML, Gemini • AI Assistance : GitHub Copilot Workspace, Peaces, VS Code + Copilot, Cursor.AI • AI Center of Excellence : GenAI, Computer Vision, Conversational, Consultative, Execution, Hybrid • Scripting Language : Python, FastAPI, Janbo • AI model : Prompt Engineering (LLM), Prompt Engineering (Zero-Shot, Few/Multi-Shot, CoT) • CI/CD : Jenkins, CircleCI, Gitlab, Kafka, Podman, Spinnaker

What we learned

how to support AI in DevOps

What's next for DevOps Automation for AI

• Business Process : Natural Language Processing (NLP/NLU)

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