AI

I keep losing trip research across ChatGPT, Claude, and Cursor. So I built Wayfare: a travel bucket list with savings tracking, plus MCP so connected chatbots can use the same trip context.

Travel bucket list and savings tracker with MCP. Same trip context in ChatGPT, Claude, and Cursor.

My wife was losing track of feeds, so I built a one-tap nursing timer that grew into a pumping log, and shipped it for free on GitHub Pages with no database and no app store.

Transform any REST API into an MCP server — connectors that make existing APIs usable by LLM tools.

The Problem: Connecting AI Assistants to Your APIs # As AI assistants like Claude and VS Code Copilot become more powerful, developers are discovering a critical bottleneck: these AI tools can’t directly interact with our existing REST APIs.

The Problem: When APIs Meet AI Assistants # A few weeks ago, I was experimenting with Model Context Protocol (MCP) for a Kafka integration project. The experience was eye-opening - being able to interact with complex systems through natural language felt like a glimpse into the future of development workflows.

Expose Kafka cluster operations as LLM-accessible tools via the Model Context Protocol.

Learn how to implement a powerful Retrieval-Augmented Generation (RAG) system using PostgreSQL and pgvector. This comprehensive guide covers everything from setting up a custom PostgreSQL Docker image to creating a fully functional RAG query system with vector embeddings and language model inference.