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AI-Managed and AI-Assisted development both promise massive productivity—but in practice, they fail in opposite ways. One creates chaos. The other traps you in micromanagement. In this video, I introduce the **AI-Driven approach**—the missing middle ground that delivers AI productivity **without sacrificing control, ownership, or system integrity**. In this video, I break down: 🚀 Why AI-Managed fails beyond demo apps 🧠 Why AI-Assisted keeps you stuck doing all the hard thinking ⚖️ How AI-Driven development balances autonomy and control 🛠️ A real example of AI-Driven software delivery (end-to-end) 📈 How to get AI execution efficiency without gambling on outcomes You’ll learn the core principle behind AI-Driven development: *AI proposes and clarifies. Humans decide.* Instead of prompt-engineering for better autocomplete, you’ll see how to establish a *collaborative workflow* where AI handles solution proposals and orchestration—while you retain strategic control over architecture, security, and business decisions. We’ll also cover: Why prompt engineering is a local optimization trap How different LLMs affect autonomy balance When AI-Driven works best—and where it hits its limits Why scaling across teams requires more than just “better prompts” This video lays the foundation for what comes next. Follow me on LinkedIn → / derick-chen Read more at https://buildwithdc.substack.com/ More resources and guides available at https://www.BuildWithDC.co Systems Atlas (https://atlas.BuildWithDC.co) - a challenge based systems design knowledge map. AI Driven Designer (https://design.BuildWithDC.co ) - AI led software architecture design tool.