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Why Traditional SDLC Models Need to Evolve for AI-Native Engineering
The Legacy Baseline Traditional SDLC models—whether Waterfall or Agile—were engineered for a deterministic era where humans translated business logic into rigid syntax. Their reliance on sequential handoffs and high-friction knowledge transfers creates tribal knowledge bottlenecks that dilute context and stifle velocity. Key structural limitations of the traditional model