The experiment involved giving an AI model a large codebase as documentation to build a data pipeline, specifically a Singer connector for Pipedrive. The idea was to test how far the AI could take it without manual coding or prompting. To its credit, the AI generated functional code and even ran data through the pipeline after some tweaks. However, it encountered issues with pagination and a specific resource implementation, highlighting the need for good documentation and understanding of the pipeline structure. Despite these challenges, the collaboration between human tech support and AI proved effective, and the pipeline was built in just 9 minutes.