Vibe Coding RAG with our MCP server

In a recent webinar, Kacper Łukawski explored the capabilities of AI coding assistants, such as Cursor, GitHub Copilot, Aider, and Claude Code, in implementing complex tasks beyond simple frontend applications, focusing on the "vibe coding" approach introduced by Andrej Karpathy. Vibe coding emphasizes intuition and outcome over code comprehension, leveraging AI tools for implementation while developers focus on results. The session utilized the Model Context Protocol (MCP) server with Qdrant to integrate AI models with external data sources, enabling semantic searches and maintaining context awareness during development. This setup allowed AI agents to retrieve and apply relevant code snippets, facilitating the creation of a Retrieval Augmented Generation (RAG) system. The webinar demonstrated the potential of AI tools in building a YouTube In-Video Search engine, showcasing how integrating contextual knowledge bases can enhance AI-driven software development.