Summary

The article discusses the evolving landscape of data engineering as it adapts to the needs of AI agents in an increasingly automated environment. It emphasizes the importance of building reliable, code-first data platforms that can handle multimodal data and provide context for agents. The shift from traditional data engineering tasks to high-level system supervision is highlighted, along with the necessity for safety and correctness in data pipelines. Ultimately, the article envisions a future where humans and AI agents collaborate seamlessly, transforming data engineering practices.

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Data Problems Addressed

Technologies Referenced