Developer Rebuilds Research Pipeline for PhD After Master's Thesis Outgrows It

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A developer who built a data pipeline for their Master's thesis is now redesigning it from scratch to support a multi-year PhD research program. The original pipeline successfully processed a cross-national research database from heterogeneous sources, but was designed around a fixed research question with known variables and datasets. A PhD introduces open-ended demands — new questions, undiscovered datasets, and evolving methodological decisions — that expose the limits of a narrowly scoped system. The developer argues that working software creates a false sense of architectural validation, since reliable output only proves a system handles its current requirements. The rebuild shifts focus from producing a research product to building for extensibility, provenance tracking, selective reprocessing, and long-term maintainability.

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