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Developers always ask me: “What’s the best coding assistant?” or “Which AI model should I use in 2026?” If you’ve been switching tools hoping for a productivity breakthrough, you’re not alone. In this video, I break down: 🚫 Why both AI-Managed and AI-Assisted approaches fail for real-world software 🔍 The context-window trap and why bigger models don’t solve complexity ⚙️ How process, not tools, is the missing half of AI-driven development I’ll walk you through the core limitations of today’s AI tools, why teams hit a local maximum, and how the AI-Driven Development Lifecycle (AI-DLC) provides a third, balanced approach for building complex systems. After leading this AWS program across 7 countries, I’ve seen teams achieve 5–20x improvements not through better models — but through better methodology. In the next video, I’ll introduce the AI-Driven approach and show you how to combine AI autonomy with effective human guidance for quantum-level productivity gains. 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.