Deep dive: Our initial assistants and model context protocol (MCP) on the Continue Hub

The Continue Hub has released the initial building blocks and assistants to work towards creating a data infrastructure for trustworthy data engineering AI. The dlt Assistant helps users develop, debug, and inspect their dlt data pipelines, while the dlt+ Assistant allows teams to interact with dlt+ Project, destinations, and pipelines in a standardized way via a YAML Project manifest. The assistants are built on top of the dlt construct of pipelines, which connect sources to resources and destinations. The Continue Hub aims to work with users as well as the wider community to develop iterative workflows for debugging and testing dlt pipelines. The assistants can be integrated into AI-enabled tools and platforms, such as VSCode or Jetbrains, and provide a more encompassing understanding of project or data platform. The team is seeking feedback from users and companies with data engineering teams that embrace AI code editors to learn about their needs and workflows.

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