Llms

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Developers discuss how much credit to take for code written with LLMs, debating attribution, responsibility, copyright, and the evolving nature of authorship in software development.

Developers share their go-to tools and techniques for cleaning and transforming data before imports, highlighting the power of scripting, challenges with common tools, and best practices for a robust data pipeline. Discover insights on managing everything from date formatting to complex code mapping.