The AI-Native PDLC (AI-Native Product Development Lifecycle) is an approach to building software in which AI is integrated into the core development process rather than added as an isolated tool. It combines human expertise, AI-powered tools, automation, and continuous validation to help teams move from product discovery to deployment more effectively.
AI engineering governance is the practice of embedding technical guardrails, access controls, usage policies, and accountability mechanisms into the Software Development Life Cycle (SDLC) to manage how developers, AI models, and autonomous agents interact with source code, data, development tools, and infrastructure.
AI-Native Development Workflow is a product development lifecycle in which AI is integrated across product planning, software development, testing, deployment, and continuous iteration.