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Learning Software Architecture

The article discusses learning software architecture, emphasizing that it is not about mastering patterns or diagrams but about understanding trade-offs, making decisions under uncertainty, and evolving systems over time. It argues that good architecture emerges from practical experience, incremental refactoring, and deep knowledge of the problem domain rather than upfront design.

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  • The article responds to a physicist seeking advice on learning software architecture, suggesting that studying existing open-source codebases, practicing refactoring, and understanding design patterns through concrete examples can help bridge the gap from academic to professional software engineering skills.