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White Paper

The Five-Stage Maturity Model for Agentic AI Software Development

The Five-Stage Maturity Model for Agentic AI Software Development

The Five-Stage Maturity Model for Agentic AI Software Development

Coder
Pages 20 Pages

This white paper provides a structured path for adopting agentic AI in software engineering while balancing productivity, security, and operational risk. Its maturity model begins with AI chatbots and code completion, progresses to human-directed local agents and human-supervised remote agents, and concludes with experimental autonomous engineers and fully autonomous teams. Each stage outlines expected value, major risks, and requirements for advancing safely. The operating model recommends persona-based permissions, standardized development environments, centralized AI policy enforcement, audit logging, quality gates, cost controls, and risk-based approval thresholds. It also proposes a 12-month adoption roadmap and metrics covering lead time, throughput, defects, incidents, developer sat

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