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Use Case Driven

What was old is new again. With the rapid evolution of AI and its utility within software engineering, Use Cases are once again front and center. This is because the industry has gone beyond the simple prompt engineering slight-of-hand magic from the early days (like 2 years ago) to context engineering. Use Case Driven from the 1990s has always meant framing the context for a software system from the User's perspective, focused around value. The approach provides not only the breadth understanding of what is in, but also what is outside the system.

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Use Case specifications provide the essential context to drive LLMs in a semantically rich way. They facilitate semantic translation from human language to domain abstractions in a seamless way all the while providing the essential handle for humans to remain in the loop and ensure Generative AI doesn't go off the rails. They also facilitate "emergent consensus" amongst stakeholders without having to draft them from scratch.

Additionally, Use Case Driven ensures the connection points between software realization and the AI agency these systems provide within the Enterprise Operating System of the future. Reasoning about the opportunities for new and innovative value chains can emerge through automatic generation of Business Use Case Realizations, Knowledge Graphs and orchestration patterns.

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