Show HN: Cursor For Data – Make LLMs and Agents have row-level intelligence (github.com)

Datatune has introduced an innovative tool that enhances large language models (LLMs) and AI agents with row-level intelligence, significantly advancing how they interact with data. Unlike traditional Text to SQL tools, Datatune empowers these models to perform complex data transformations by applying semantic intelligence directly to each record. Users can seamlessly execute data operations like mapping and filtering through simple natural language prompts, significantly reducing the complexity of data manipulation tasks. This capability not only streamlines workflows but also enhances the accessibility of data-driven insights. This development is particularly noteworthy for the AI/ML community as it allows for intelligent, automated data transformations without requiring extensive coding knowledge. With the ability to integrate with popular data frameworks such as Dask and Ibis, Datatune supports various data sources, including CSV files and cloud-based databases. By enabling LLMs to understand and execute multi-step data tasks from a single instruction, Datatune sets the stage for more intuitive interaction between users and data, fostering greater efficiency and creativity in data processing and analysis.