AI

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. After building Django DRF to MCP converters and Kafka MCP servers, I realized a fundamental challenge: Every API requires custom MCP server implementation. You shouldn’t need to write custom code for every API integration. You shouldn’t have to learn Model Context Protocol’s internals just to connect Claude to your weather API, GitHub API, or internal company 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. After successfully getting MCP working with Kafka, I started thinking about other systems I could connect. That’s when I looked at one of my old Django projects. ...

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.