Many commercial integration tools market their ability to own the integration landscape and call out to general purpose languages as needed. While I can appreciate the marketing behind such messaging — it promotes product penetration and lock-in — as architectural guidance, it is exactly backwards. Instead, we should almost always manage the interface evolution in a general purpose language for at least two reasons: so we can better manage the complexity of maintaining a clean interface, and so that we avoid the gravitational pull of our tool's mental model when making strategic integration decisions.
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How is code generation with GenAI different from more "traditional" code generators? The newest memo in Birgitta Böckeler's explorations of GenAI talks abou
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