From AI-assisted to AI-native: Rethinking the software delivery model

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The article argues that AI tools alone do not transform software delivery unless teams redesign their workflows and operating model around them. It contrasts AI-assisted development with AI-native delivery, where humans supervise AI systems instead of acting as the main producers of code and tests. The piece describes better results in both greenfield and brownfield environments when teams use structured inputs, guardrails, and progressive trust. It also recommends mapping bottlenecks first, then rolling out AI changes incrementally through a controlled transformation roadmap.

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