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🧭 *Planning (Milestones → Dependencies → Constraints) Design Pattern Explained* In this video, we explore the *Planning Design Pattern**, a foundational concept for building **intelligent, goal-driven AI agents and scalable systems**. This pattern helps agents break down complex objectives into **structured, executable plans* while respecting real-world limitations. Instead of acting blindly, the system plans by: *Defining Milestones* to break large goals into achievable steps *Modeling Dependencies* to determine execution order and coordination *Applying Constraints* such as time, cost, tools, and policies This approach enables **reliable execution, better decision-making, and predictable outcomes**. 🔍 What you’ll learn in this video: What is the Planning Design Pattern? Why milestones, dependencies, and constraints matter How agents convert goals into executable task graphs Handling blocked tasks and constraint violations Step-by-step planning workflow with examples Real-world use cases in agentic systems Common mistakes and best practices 🚀 Where this pattern is used: ✅ Agentic AI systems ✅ Task orchestration engines ✅ Autonomous workflow planners ✅ Distributed & multi-agent systems ✅ System design and execution frameworks 👨💻 Who should watch? AI / LLM Engineers Agentic system designers Software & backend engineers System design interview aspirants Anyone building *goal-oriented AI systems* By the end of this video, you’ll understand *how intelligent systems plan before acting**, manage dependencies, respect constraints, and execute tasks **efficiently and safely* using the **Planning Design Pattern**. 👍 Like the video if it helped 📌 Subscribe for more *Agentic AI & System Design Patterns* 💬 Comment if you want *planning diagrams, code examples, or real-world case studies* #PlanningPattern #AgenticAI #SystemDesign #AIPlanning #TaskOrchestration #DesignPatterns #AgenticAI #AgenticDesignPatterns #LLMAgents #AIArchitecture #RAG #MultiAgentSystems #AutonomousAI #AISystemDesign #GenerativeAI