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The concrete realization of the HyperAgility™ paradigm requires a robust platform of automation. With the inversion of the supply-chain, the Solution Architect becomes the focus of control and critical path. Orchestration of this process involves various Use Cases that leverage Generative AI, Declarative AI and CI/CD automation. At the heart of this process is Decision Centric Architecture (DCA), enabling robust full-stack solution declaration and generation in a risk mitigated fashion.

Codification of the technology landscape, qualities-of-service and deployment paradigms is easily performed by Advisor's robust inference engine and declarative knowledge base, supplementing just-in-time incorporation and leverage of emergent LLM cloud API services.

With both the problem space, solution space and architecture risk profile established, project knowledge capture and reuse is automatic, with various blueprint views and documentation automatically generated along with the most important artifacts of all - the solution code stack.

No longer is solution development dependent upon the interpreters of scope or on specialized skillsets who often learn on the customers dime. No longer is solution development performed in a big-bang at the eleventh hour in an opaque fashion. True openness and transparency extends beyond the secondary artifacts of specifications, plans and progress metrics to necessarily include the emergent technology stack that concretely represents the investment.

In addition to the code stack generation Use Case, we have pioneered the use of AI for many other Software Engineering Use Cases to not only predict outcomes, but also provide advice and guidance to teams based on live result data, trigger risk mitigation alerts based on our rule base, and perform deep learning based on symptom root-cause chains.

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