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The article argues that traditional software development practices of pre-planning work into small, sequential tasks are outdated because AI has made building, design iteration, and code decomposition dramatically cheaper. Instead, engineers should now "build wide" by implementing entire features first, then decompose the finished work into clean pull requests and seek feedback through demos rather than code review. This approach leverages AI's capabilities while preserving the human judgment needed for code review and the product validation that still requires running the actual feature.
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