Engineering Management
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AI Development and the Rise of Requirements Engineering
The speed at which code can now be generated means that ambiguity in requirements becomes dramatically more expensive. A human developer can often fill in missing context or infer intent from incomplete requirements. AI generally cannot — it will implement exactly what was specified, including the gaps. That shifts engineering rigor upstream.
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Measuring What We Can’t See
Modern development work is full of invisible effort—decisions made, bugs avoided, knowledge shared—but most of that doesn’t show up in dashboards or status updates. This article explores how we can responsibly measure what traditional metrics miss, using version control data as a starting point.