SDAS L3: Definition of Vision
Three strategic opportunities that neither GitHub's spec-kit nor existing agentic frameworks address - cross-project learning, dynamic template evolution, and predictive human-agent collaboration - each creating compounding advantages that static automation cannot replicate
The SDAS vision definition - identifying and developing three strategic research opportunities (cross-project learning systems that accumulate institutional memory, dynamic template evolution that self-optimizes based on performance metrics, and human-agent collaboration patterns that predict optimal intervention points), with conceptual frameworks, capability maps, and phased research plans for each opportunity.
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Three strategic opportunities that neither GitHub's spec-kit nor existing agentic frameworks address - cross-project learning, dynamic template evolution, and predictive human-agent collaboration - each creating compounding advantages that static automation cannot replicate
Product designer agent for turning feature requests into implementation-ready SPEC.md with...
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The foundation research that determines whether your agentic system will cost $200/month or $5,000/month - model allocation, hybrid architectures, and the prerequisite checklist that separates viable SDAS implementations from expensive experiments
When GitHub released spec-kit with a four-phase sequential process, SDAS was already running parallel multi-agent networks - this analysis maps exactly where the approaches converge, where they diverge, and how combining them creates something neither achieves alone