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Agentic SDLC: Redesigning Software Delivery When Coding Is Only 20% of the Work argues that the true bottleneck in modern software engineering is not the implementation speed of coding assistants, but the inefficient organizational translation work that surrounds development. Drawing on data from 2025–2026 industry benchmarks, this book provides a blueprint for engineering leaders to shift their teams from coding-centric workflows to end-to-end agentic orchestration. By embedding autonomous agents across the lifecycle—from discovery and architecture to security and deployment—and institutionalizing human preceptorship to manage the 'AI drag' on early-career talent, organizations can capture the transformative potential of AI to improve flow, quality, and business outcomes rather than merely accelerating feature output.
Select a section in Contents to read.