Welcome to the first episode of our "Design Patterns" series! In this tutorial, we dive deep into the Factory Method pattern—one of the most essential creational design patterns in software architecture. What you'll learn in this video: ✅ The core problem of tight coupling and why direct object instantiation (the "new" keyword) can be problematic. ✅ A real-world analogy (The Restaurant Analogy) to help you visualize the pattern. ✅ Step-by-step implementation in TypeScript: from defining the Product interface to creating Concrete Creators. ✅ When to use the Factory Method in your own projects to improve maintainability and extensibility. Whether you're a beginner or an experienced developer looking to sharpen your architectural skills, this guide will provide you with a solid foundation for building scalable applications. 🔔 Don't forget to subscribe to follow the rest of the Design Patterns series! In the next episode, we'll explore the Abstract Factory pattern. #TypeScript #DesignPatterns #SoftwareArchitecture #CodingTutorial #FactoryMethod #WebDevelopment #Programming #SoftwareEngineering https://lnkd.in/dzmaRr_J Factory Method Pattern, TypeScript Tutorial, Design Patterns, Creational Design Patterns, Software Architecture, Clean Code, TypeScript Programming, Logistics App Example, Factory Method TypeScript, Programming for Beginners, Advanced TypeScript, Coding Patterns.
Factory Method Pattern in TypeScript Tutorial
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Every senior dev thinks in patterns. Every junior dev should, too. 📖 Just dropped Series 1: Creational Design Patterns — the 5 patterns that control how objects are born in your code. Written with diagrams, code & zero fluff. Article: https://lnkd.in/gbXJbEhT Code Repo: https://lnkd.in/gpccrayu #Programming #SoftwareArchitecture #DesignPatterns
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🔄 Continuing my Design patterns learning journey… After understanding Creational Design Patterns, today I explored Structural Design Patterns — which focus on how different components of a system are structured and connected. 💡 Why Structural Patterns? They simplify complex systems by organizing relationships between classes and objects, making them easier to scale, extend, and maintain. 📌 Key Structural Design Patterns: 1️⃣ Adapter – Helps incompatible interfaces work together 2️⃣ Bridge – Separates abstraction from implementation for flexibility 3️⃣ Composite – Treats individual objects and groups uniformly 4️⃣ Decorator – Adds new behavior dynamically without changing existing code 5️⃣ Facade – Provides a simple interface to a complex system 6️⃣ Flyweight – Optimizes memory usage by sharing common data 7️⃣ Proxy – Controls access to an object (e.g., security, caching, lazy loading) 🧠 These patterns are especially useful when building scalable systems where components need to interact efficiently without tight coupling. 🚀 Tomorrow, I’ll dive into code implementations. #DesignPatterns #Java #BackendDevelopment
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Today Clay launched functions!!! ⚙️ 🚀 What is in the image? POV me explaining it in a meeting ! but what I was telling in the picture? See below 👇 - How is the perfect point between group columns & table templates as starting point to functions candidates, - how the pattern works, and how now I see and maybe bring a new term lol, but Clay will not orchestrate anymore but also perform more and more as a UX friendly Architecture platform, _ . enabling similar to software architecture and the diff layers of an application. - We could apply same principles by having different layers, separation of concern, responsibilities, implementation agnostic interactions, architecture best practices... now new terms like Clay table refactoring can be coined. Now you can see kind of git repo version of tables, go back changes, log of executions, log of credits... the list goes on, Clay keep building 💪 --- Additionally recently had 2 people learning clay in pair programming, (yes 2 heads, one computer) 🔥 So yeah, interface maybe is not black matrix code background, but rational thinking, architecture, creativity, quality attributes are things that matters when building Clay tables and aiming for enterprise grade architectures
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Clean code is overrated; working code that solves the actual problem is what pays the bills. We spend so much time obsessing over architecture diagrams and folder structures, but the real magic happens in the messy middle—the part where you’re just trying to get the state to update correctly or the API to return the right data. I’ve been digging through my recent dev folder, and honestly, it’s not a highlight reel. It’s a graveyard of console logs, commented-out experiments, and UI tweaks that didn't make the cut. But looking back at these 10 snapshots of my recent progress, I realized something important: each one represents a hurdle cleared. From backend logic shifts to front-end refactors, this is the raw reality of building something from scratch. When you peel back the layers of a final "polished" product, you find these moments of friction. - Tackling edge cases that break the layout - Rewriting functions three times until they feel intuitive - Debugging why the UI is lagging under specific conditions We hide these screenshots because they aren't "perfect," but they are exactly what the process looks like. If you're currently staring at a screen full of messy code and feeling like you aren't making progress, remember that this is simply what development is. It’s not a straight line of clean commits; it’s a series of messy adjustments until the pieces finally click into place. Don't let the pressure for perfection stop you from shipping. #SoftwareEngineering #WebDevelopment #CodingLife #BuildInPublic
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Why build a new node system when you can just "wire up" your existing UI? 🔌 Most visual programming tools force you to write your components in a very specific, restrictive way to fit into the graph. With DAG Studio, I’m flipping that script. The most novel part of the architecture is the Ports Component. It allows any existing UI component to be visually wired into a complex data flow. You don't change the component; you just define its "interface" via the Ports engine. This enables a Hybrid Execution Model where the same graph can handle both instant, reactive updates and heavy, asynchronous background processes seamlessly. It's still early days (the architectural blueprint is currently ahead of the code!), but the goal is to make visual programming as flexible as writing standard React code. Explore the project here: https://lnkd.in/gu5hQ5G5 #Innovation #DX #DeveloperExperience #React #DAG #FrontendEngineering
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Claude Code Plan Mode vs. Think/Ultrathink -------- Plan Mode When to use: - Your task touches multiple files - You want to understand the codebase before changing it - You don't trust AI to just go wild on your code -------- Think Mode When to use: - Complex logic or architecture decisions - Debugging something weird - You keep getting shallow answers -------- Type ultrathink while in Plan Mode. Claude will deeply analyze your entire codebase without breaking anything — then hand you a solid plan. Plan first. Think hard. Then let it code. ⚠️ One thing though - deeper isn't always better. From my experience, ultrathink on UI tasks actually makes things worse. Claude starts overthinking layouts, second-guessing component structure, adding unnecessary abstractions. For stuff like styling a button or building a simple form — just let it vibe. No plan mode, no ultrathink. Just prompt and go.
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Day 4 - Creational Design Patterns 🚀 Today I explored some of the most important Creational Design Patterns: 🔹 Simple Factory → Centralized object creation 🔹 Factory Method → Subclasses decide which object to create 🔹 Abstract Factory → Create families of related objects 💡 Key realization: 👉 Object creation logic should not be tightly coupled with business logic 👉 These patterns make systems flexible, scalable, and extensible From writing objects → to designing object creation #Day4 #LLD #DesignPatterns #SystemDesign #Java #SoftwareEngineering
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This week felt like everything started connecting. 🔥 You know that moment when what you study actually shows up in your real work and solves a real problem? That happened this week. And that feeling? Absolutely unmatched. 💡 Here’s what I covered 👇 Design Patterns Builder Pattern Factory Pattern Abstract Factory Pattern Singleton Pattern SOLID Principles Single Responsibility Open/Closed Liskov Substitution Interface Segregation Dependency Inversion And started Blind 75 🎯 But the real win this week was not just studying these on paper. It was opening my actual project — and using them. Cleaner code. Better structure. Problems that used to confuse me? Resolving themselves. 🛠️ That is when you know the learning has gone deeper than theory. Design Patterns are not just interview topics. SOLID Principles are not just concepts. They are the difference between code that works and code that lasts. 💪 Every week the dots keep connecting. Every week the excitement only grows. 🚀 Drop a 💬 if design patterns changed how you write code too — let’s connect! #DesignPatterns #SOLID #CleanCode #SoftwareEngineering #FullStackDeveloper #BuilderPattern #FactoryPattern #Singleton #LeetCode #Blind75 #CodingJourney #ConsistencyWins #SoftwareDevelopment
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As a developer, I've often found myself stuck on a problem, only to realize that someone has already solved it - and that someone has written a design pattern to share their solution with the world. I've lost count of how many times a well-known pattern has saved me from hours of frustration and trial-and-error coding. Whether it's the Singleton pattern for managing global resources or the Observer pattern for handling events, these tried-and-true designs can make all the difference in our work. We all know that writing clean, maintainable code is essential, and design patterns can help us achieve just that. By understanding and applying patterns like the Factory pattern, the Decorator pattern, or the Strategy pattern, we can write code that's more modular, flexible, and efficient. I've seen firsthand how using design patterns can simplify complex systems and make our codebases easier to understand and extend. So, what's your go-to design pattern when faced with a tricky coding problem - and how has it helped you write better code? #DesignPatterns #SoftwareDevelopment #CodingBestPractices
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I’ve been diving deep into Frontend Architecture and decided to turn theory into something practical. So I built a GitHub repository that showcases multiple scalable React architectures, including: Feature-Based Architecture Clean Architecture Layered Architecture Modular Architecture Hybrid Patterns Micro-Frontend Structure https://lnkd.in/dmCHsgMm But I didn’t stop at folder structures; the main goal was to enforce architecture, not just demonstrate it. So I implemented: ✅ ESLint rules to enforce import boundaries ✅ Feature isolation (no feature-to-feature coupling) ✅ No deep relative imports (../../) ✅ Prevention of circular dependencies ✅ Clear separation of concerns (UI, logic, data) ✅ Git hooks (Husky + lint-staged) to block invalid commits I also added an Architecture Audit Report explaining: What rules are enforced? Why they exist and how they improve scalability. One key takeaway: Architecture is only valuable when its rules are enforceable. This project was built with the help of AI to accelerate implementation and explore different architectural patterns in a structured way. Check out the repo: https://lnkd.in/dYkVEguR Would love to hear your thoughts or feedback 👇
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