SDAS L2: Research & Opportunity Technical Framework Analysis
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
The SDAS L2 technical framework analysis - comparing GitHub's spec-kit sequential methodology (Specify, Plan, Tasks, Implement) against SDAS parallel multi-agent processing, identifying convergence points in spec-driven validation, divergence in execution architecture, the synthesis opportunity that creates 'Spec-Driven Agentic Systems,' and the competitive positioning framework that emerges from combining structured specifications with parallel agent orchestration.
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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
Product designer agent for turning feature requests into implementation-ready SPEC.md with...
Frontend UI engineer agent for implementing features from SPEC.md with disciplined,...
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
The economic analysis that produced the hybrid two-tier system - 'Consultant Killer' mode for high-value parallel execution and 'Daily Driver' mode for routine sequential work, with a decision framework that determines which mode to use based on project value and time savings