Best of Design Patterns — October 2025

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   Article

   Machine Learning Mastery·31w

   7 Must-Know Agentic AI Design Patterns

   Seven proven design patterns for building production-ready AI agents: ReAct (reasoning loops), Reflection (self-critique), Planning (task decomposition), Tool Use (external integrations), Multi-Agent Collaboration (specialized agents), Sequential Workflow (fixed pipelines), and Human-in-the-Loop (safety checkpoints). Each pattern addresses specific trade-offs between cost, latency, reliability, and complexity. The guide emphasizes starting simple with single agents and tool use, then evolving to more complex patterns only when clear limitations emerge. Includes practical decision framework based on workflow predictability, quality requirements, and task complexity.

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2. 2
   Article

   habr·32w

   Predicate Pattern in Go

   Explores implementing the predicate pattern in Go to create elegant, filterable search methods. Demonstrates building a process finder that accepts predicate functions (functions returning bool) through builder methods like ByTitle() and ByPID(). Shows how to enhance developer experience by converting filter functions into methods on an empty struct, enabling IDE autocomplete for filter options while maintaining clean, idiomatic code.

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3. 3
   Article

   freeCodeCamp·33w

   How to Use the Compound Components Pattern in React: Prop Soup to Flexible UIs

   Learn how to implement the Compound Components Pattern in React to build flexible, reusable UI components. The tutorial demonstrates refactoring a rigid modal component into a composable design using parent-child component relationships with shared state. Through hands-on examples building modal and accordion components, you'll understand how this pattern eliminates prop drilling, improves maintainability, and enables LEGO-like composition of UI elements without sacrificing flexibility.

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4. 4
   Article

   iO tech_hub·34w

   From If-Else Hell to Clean Architecture with Function Registry Pattern

   Learn how to replace complex if-else chains with the Function Registry pattern for cleaner, more maintainable code. The pattern uses a registry system where specialized transformer functions handle specific data types, making code extensible without modifying existing logic. Includes step-by-step implementation guide with TypeScript and React examples, showing how to transform JSON schemas into form components while following SOLID principles.

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5. 5
   Article

   Medium·31w

   GenUI Design: Foundational Patterns

   GenUI (Generative User Interface) represents a paradigm shift where AI dynamically generates and adapts interface elements in real-time based on user context and behavior. The system relies on three core components: LLMs for interpreting user goals, design systems with tokens for consistent building blocks, and real-time rendering engines for dynamic assembly. Six foundational design patterns are essential: intent capture (inferring user goals through prompts), undo/time-travel (allowing users to edit prompts or return to checkpoints), progressive disclosure (revealing complexity gradually), contextual hints (suggesting relevant actions), stable anchors with fluid details (maintaining orientation through fixed elements), and harm prevention (requiring confirmation for critical actions). While feedback loops are common, they often become visual clutter when overused, and stable anchors must remain consistent to build user muscle memory.

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