The text discusses an approach to automating metadata handling in data pipelines, using a combination of tools called dlt and SQLMesh. These tools aim to eliminate tedious manual tasks in managing metadata, allowing developers to focus on refining their SQL models instead. The process involves running a pipeline with dlt, which infers metadata automatically, and then using SQLMesh to generate SQL models based on this metadata. This approach can save time and reduce errors compared to manual metadata handling. The tools are open-source and have active communities, making it possible for developers to explore further and get support from fellow data engineers.