From AI-native development to AI-native organization (bigtech (AI column)

Wrote. continuation The article on ai-native developmentFrom PDLC to AI-native development" The main focus of the new article revolves around the idea that if the transition to ai-native development changes the engineering process itself, then the organizational structure changes further - this is evident from the announcements and actions of big tech companies that are most actively involved in the AI race. And then it will affect the rest. The bottom line is that when requirements, code, tests, and documentation begin to gather at times faster, the bottleneck is no longer writing artifacts, but making decisions, conveying context, and the number of organizational layers. Hence the next step: it is not enough for companies to simply give AI tools to engineers. You need an organizational model that can digest the new speed of work. This usually means fewer layers of management, more senior+/staff+ IC weight, a strong internal platform, self-service, guardrails, and agentic workflows. It is important that the transition to a flatter structure (flattening) - it's not just about cutting costs. It’s an attempt to increase emissions per employee and remove organizational friction per unit of output. However, this model does not work on its own: without a strong platform, high-quality CI/CD, transparent policy checks and clear rules of decision-making, AI will simply accelerate chaos.

In general, the next level of competition will be not just to make AI-native development, but rather the ability to build an AI-native organization around people, platforms, and agents.

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