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This webinar explores the potential of AI coding assistants to build complete Retrieval Augmented Generation (RAG) applications with minimal human coding. Discover how to leverage natural language prompts to generate both frontend and backend code for fully functional RAG applications powered by Qdrant's vector search capabilities. Compare the performance of leading AI coding assistants including Cursor, Aider, Claude Code, and GitHub Copilot across full-stack development tasks. Learn which frameworks produce the most consistent and high-quality results, and see how Claude 3.5 and 3.7's renowned frontend code generation capabilities translate to complete RAG application development. Put Andrej Karpathy's claim that "English is the hottest new programming language" to the test in this practical demonstration of AI-assisted RAG application development.
