Missed Part 1? View the theory and benefits here: Ready to move beyond simple AI assistance and "vibe coding"? Agentic Coding isn't just about using an AI to write a function; it’s about orchestrating a network of specialized agents—Task Managers, Developers, Testers, and Architects—to build and refactor complex software at scale. In this deep dive (Part 2), we move from theory to practice. I’ll show you exactly how to set up an Agentic ecosystem that allows you to handle large chunks of work and complex operations that single-prompt assistants just can't handle. In this video, we cover: The 3 Types of AI Coding: Differences between AI-Assisted, Vibe Coding, and Agentic Coding. The Team: Defining the essential agents (Task Manager, Developer, Tester, Architect) and their specific roles. Documentation is Key: How to use ADRs (Architecture Design Records) and specific command structures to keep agents on track. The Workflow: How to manage context, acceptance criteria, and "antagonistic" testing loops for zero-error goals. Tooling: A look at Claude Code, Cursor, and other platforms to get you started. Resources & Quick Start Links: Claude Code Infrastructure Showcase: Builder Methods (Agent OS): Human in the Loop: #aiforbusiness #aidevelopment #agenticdevelopment #aicoding #softwarearchitecture #claudecode #cursor











