After building both OpenClaw skills and MCP servers, what did I learn about the right abstraction layer? And where are personal AI agents heading in the next 5 years? A reflection on tooling, standards, and the shift from AI-as-service to AI-as-infrastructure.
How to build Model Context Protocol servers that actually work in production. Deep-dive in auto-generation from API routes, permission models, and why 13 small tools beat one smart tool.
Why I moved my AI agent stack from Kubernetes to a bare metal laptop, what broke along the way, and the 98% success rate that followed. A technical journey through OpenClaw, Ollama, and production AI infrastructure.
How to run the Azure DevOps MCP Server in Kubernetes using the ToolHive Operator for integration with Open WebUI and other AI tools.