Erase tech debt from data loading with dlt + Cursor + LLMs

The author, Adrian Brudaru, shares his experience of rewriting an old Python script to load data from the Pipedrive API using the dlt and Cursor tools. The original script was complex, unmaintainable, and lacked modern best practices, making it difficult to hand over to a team. By using dlt and Cursor, Adrian created a declarative, self-documenting, and easily maintainable REST API source with explicit schema management strategy, resulting in a cleaner, more modular pipeline that can be scaled and tested. The author highlights the importance of data contracts, modularity, reusability, and observability, and encourages readers to modernize their legacy ETL scripts using dlt + Cursor.

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