20. Conclusion

Dandori is not a rejection of what came before. It is an evolution driven by a fundamental change in the economics of software development. When AI handles a growing share of implementation, the activities that create value shift toward preparation: precise specification, fast decision-making, rigorous validation, and architectural judgment. But the transition is a spectrum, not a switch. Teams operate in a hybrid reality where some work is fully AI-executed, some is human-implemented with AI assistance, and some remains purely human. Dandori is designed for that spectrum.

The framework transforms Scrum's practices rather than discarding them. Sprints become adaptive. Estimation becomes specifiability assessment. Backlog grooming becomes intent review. The core discipline of planning, reflecting, and improving survives. What changes is the object of that discipline: from optimizing human labor to optimizing human judgment.

The framework provides the structure for this new reality without burdening teams with ceremony that does not earn its place. It respects the Agile values that Scrum championed while updating the practices for a world where the most important work happens before and after AI executes, not during execution.

The name itself is the thesis. Dandori. Preparation is the work.

"In the Toyota Production System, they discovered that the quality of preparation determines the quality of production. In AI-augmented software development, we are learning the same lesson: the quality of the specification determines the quality of the code. Dandori is the framework that takes this lesson seriously."