Software development teams worldwide are struggling with a paradox: AI tools promise increased productivity, but many implementations result in technical debt, security vulnerabilities, and workflow disruptions. The problem isn't AI capability, but the lack of proper orchestration and governance. Practical Agentic Coding solves this challenge by introducing a strategic, structured approach to autonomous AI development.This book teaches leaders and experienced developers on how to transition from using AI as a passive assistant to leading agents as autonomous team members. You will journey through a complete evolution: from setting a foundational industry vision and evaluating the market value of tools like Amazon Kiro, Google Antigravity, and Claude Code, to architecting intelligent workflows where AI agents handle complex tasks while humans provide strategic direction.By combining the best architectural practices with hands-on tutorials, security frameworks, and real-world case studies, this practical guide enables teams to harness AI's transformative power without compromising quality or control. The result: development teams that operate at unprecedented speed and scale while maintaining the craftsmanship that defines exceptional software.You Will:Understand the core principles of Agentic Coding and how to use AI Agents not just as tools but valuable team membersDesign workflows where AI agents can handle tasks like coding, testing, documentation, and more with human oversightImplement guardrails, audit trails, and governance practices to ensure safe and reliable agent behaviorRecognize and prevent common pitfalls like bad code generation, security issues,  and broken workflows caused by poorly managed agents