A workshop on AI-assisted data ingestion teaches data engineers how to use LLMs to accelerate pipeline development while maintaining control through scaffolding, validation, and observability. The approach uses dlt with IDE agents to generate config-driven connectors, debug errors quickly through tight feedback loops, and
Table of contents
About This Article Link iconThe Shift in Data Engineering Link iconWhat You Will Learn Link iconA Concrete Case Study: GitHub Commits in Under 10 Minutes Link iconThe Workflow in One Diagram Link iconYou Don't Trust LLMs. Good. Here's the Safety Checklist. Link iconOptional Hackathon Challenge (Bring Your Own Pain) Link iconRegister + Prep (2 Minutes) Link iconTake the Next Step Link iconSort: