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An essay published by Leadership Garden argues that rigid, spec-first recipes for AI-assisted coding mistake how software is built. Cheaper prototypes are useful, but they do not make changing requirements and long-term maintenance disappear.
Why it mattersThe author also argues that tests should help uncover design problems as work progresses, not be saved for a final tick-box. A sensible reminder: the first working demo is often the easy part.
Discuss: Should AI coding workflows start with detailed specifications, or leave more room for tests and design to evolve as the code does?
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