AIHacker Noonabout 5 hours ago
Why Traditional SDLC Models Need to Evolve for AI-Native Engineering
3 min read
Traditional SDLC models like Waterfall and Agile create bottlenecks that AI amplifies. Four mismatches include context dilution, manual architecture reconstruction, late-stage quality discovery, and people-dependent scaling. Engineering shifts from deterministic rules-based coding to a probabilistic model where AI agents handle implementation under human governance.
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