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content/posts/2025-11-20-the-role-bridging-problem/index.md

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@@ -43,6 +43,8 @@ Code gets written, interfaces get built, documents get produced, and they all _l
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This is particularly problematic because the work is often functionally correct. Tests pass, the UI renders, the API responds. What's missing is the domain mindset - the architectural considerations, the edge case handling, the maintainability concerns that come from actually understanding the domain you're working in.
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It's the ultracrepidarian's dilemma: AI provides the competence to produce, but not the expertise to evaluate.
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Consider these scenarios:
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- A data analyst uses AI to submit a pull request to codebases they otherwise wouldn't touch - they're producing code, but not applying software engineering principles.

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