English | EN 
Enterprise software delivery is at an inflection point. While generative AI has delivered modest productivity improvements through AI assistants, the true transformation emerges when AI agents operate as disciplined members of the software delivery team, executing within a governed SDLC.
Agentic Software Engineering (Agentic SE) represents a shift from human executed tasks to agent executed workflows, where humans remain accountable for intent, architecture, and governance. When implemented with rigor — particularly through spec driven development and strong architectural boundaries — Agentic SE compresses delivery timelines from months to weeks, improves quality at the source, and dramatically reduces engineering friction.
This paper describes what Agentic Software Engineering is. It presents a real world case study demonstrating dramatic SDLC acceleration. It explores governance, orchestration, and architectural patterns required for enterprise adoption. And concludes with practical guidance for applying Agentic SE to both greenfield and legacy environments as part of a modern Product Operating Model.