Agents can write dlt pipelines. Now they can run & deploy them.

dltHub Pro introduces the AI Workbench as an infrastructure layer that enables the creation, validation, and deployment of AI-generated data pipelines, making them trustworthy and production-ready. The platform consists of toolkits designed for different phases of data engineering, including REST API, data exploration, transformation, and deployment, allowing agents to build comprehensive pipelines using structured workflows. dltHub Pro emphasizes the integration of agents and human oversight, ensuring that pipelines are both efficient and reliable by capturing and utilizing metadata, schemas, and runtime information for seamless context sharing among tools. This approach enhances trust in AI-generated code by providing transparency, modularity, and human-in-the-loop control, thereby addressing the challenges of schema validation, data handling, and production readiness. The system facilitates rapid feedback loops, allowing for prototyping, validation, and deployment without extensive manual intervention, while maintaining data integrity and security through deterministic tooling and separate treatment of data and metadata.