Practical Agentic Coding

Part I: Foundations of Agentic Coding.-Chapter 1: What is Agentic Coding? The Evolution Beyond AI Assistants.- Chapter 2: Key Concepts: Agent Memory, Rules, and Governance Frameworks.- Chapter 3: The Human + AI Developer Model: Orchestration Principles.- Chapter 4: Recent Advances in AI and Autonomous Agents.-Part II: Agentic Coding Tools and Platforms.- Chapter 5: The Architecture of Intent: Mastering Amazon.- Chapter 6: Intent-First Development: Mastering Google Antigravity and Gemini CLI.- Chapter 7: The Composer Workflow: Mastering GitHub Copilot (Agent Mode) and Cursor.- Chapter 8: Constitutional Coding: Mastering Claude Code.-Part III: Architecting Agentic Development Workflows.- Chapter 9: Building Agent Memory and Context Models.- Chapter 10: Orchestrating Multiple AI Agents: Team Coordination.- Chapter 11: Integrating Agentic Coding with DevOps and Cloud Infrastructure.- Chapter 12: Security, Privacy, and Ethical Considerations in AI Development.-Part IV: Real-World Implementation and Future Directions.- Chapter 13: Case Studies: Successful Agentic Coding Transformations.- Chapter 14: Migration Strategies: From Traditional to Agentic Development.- Chapter 15: Measuring Success: KPIs and ROI for AI-Augmented Teams.- Chapter 16: The Road Ahead: Preparing for the Next Wave of AI Development.