Feb 17
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Local Kubernetes Deployment (Minikube, Helm Charts, kubectl-ai, Kagent, Docker Desktop, and Gordon) In this video, I successfully deployed my AI-powered Todo Chatbot on a local Kubernetes cluster using Minikube, Helm Charts, Docker Desktop, kubectl-ai, Kagent, and Docker AI Agent (Gordon). This is Hackathon 2 – Phase IV, where the goal was to transform a fully functional AI chatbot from Phase III into a cloud-native, production-style deployment using modern DevOps and AI-powered automation tools. The frontend and FastAPI backend were containerized using Docker, and Docker AI Agent (Gordon) was used for intelligent Docker operations. I then generated Helm charts for Kubernetes deployment using kubectl-ai and kagent, demonstrating AI-assisted infrastructure automation. The application was deployed locally on Minikube, showcasing scaling, troubleshooting failing pods, analyzing cluster health, and optimizing resource allocation using AI DevOps tools. This project follows a Spec-Driven Development workflow (Write Spec → Generate Plan → Break into Tasks → Implement via Claude Code), ensuring zero manual coding and full AI-assisted development. The architecture includes OpenAI Agents SDK, MCP server tools, PostgreSQL database (Neon), ChatKit frontend, and a stateless backend design optimized for scalability and resilience. If you're learning Kubernetes, Helm, Docker, AI DevOps automation, cloud-native architecture, or building AI chatbots with FastAPI and OpenAI Agents SDK, this video provides a real-world hands-on deployment example from development to Kubernetes orchestration. #Kubernetes #Minikube #Helm #Docker #DevOps #AIDevOps #FastAPI #CloudNative #OpenAI #Chatbot #MCP #Hackathon #SpecDrivenDevelopment