React Codebases: Avoid God Components and Technical Debt

⚠️ A Common React Mistake That Slowly Breaks Applications One thing I keep noticing in many React codebases: Everything becomes global state. At first it feels convenient. Need the data somewhere? Just put it in global state. But over time this starts causing problems: • Components re-render more than necessary • Debugging becomes harder • State dependencies become unclear • Performance slowly degrades Not every piece of data needs to live globally. Sometimes the best architecture is simply: ✅ Local state where possible ✅ Lift state only when necessary ✅ Global state only for truly shared data Frontend architecture isn’t about adding tools. It’s about using the right level of complexity for the problem. Sometimes the best optimization is simply keeping state closer to where it belongs. Curious how others approach this — How do you decide what belongs in global state vs local state? #ReactJS #FrontendDevelopment #JavaScript #SoftwareEngineering #WebDevelopment

🚀 Reusable Logic in React (Custom Hooks) Instead of repeating logic across components, I started extracting it into reusable hooks. 🧠 Problem Fetching data in multiple components = duplicated logic ⚙️ Solution → Custom Hook import { useState, useEffect } from "react" function useFetch(url) { const [data, setData] = useState(null) useEffect(() => { fetch(url) .then(res => res.json()) .then(setData) }, [url]) return data } ⚡ Usage const data = useFetch("/api/users") 💡 Why It Matters • Cleaner components • Reusable logic • Better separation of concerns • Scalable architecture 🎯 Takeaway: Good developers write code. Great developers write reusable systems. Moving towards more scalable React architecture. 💪 #ReactJS #CustomHooks #FrontendDeveloper #CleanCode #MERNStack #SoftwareEngineering

🚀 I stopped manually managing API state in React… and discovered a better way. While building projects, I realized how much time I was spending on: loading states, caching, refetching, and error handling. That’s when I explored TanStack Query. 🧠 What I learned: TanStack Query simplifies server-state management in React. Instead of manually handling API calls with useEffect + useState, it provides: • Automatic caching • Background data refetching • Built-in loading & error states • Request deduplication • Pagination & infinite queries All with minimal code. ⚙️ How it works: Instead of writing multiple states and effects, you can do: • useQuery → fetch data • useMutation → update data Clean. Predictable. Scalable. 📈 Why this matters in real-world projects: In production apps: • API calls increase • State becomes complex • Performance matters TanStack Query helps you: • Reduce boilerplate • Improve performance with caching • Keep UI in sync with server data • Build scalable frontend architecture This is widely used in modern React applications. 💡 Key insight: I realized that not all states are the same. Client state (UI) ≠ Server state (API data) Trying to manage both with useState leads to complexity. TanStack Query solves this separation cleanly. 💡 are you still managing API calls with useEffect, or have you switched to a data-fetching library? #ReactJS #TanStackQuery #FrontendDevelopment #WebDevelopment #SoftwareEngineering #JavaScript

Week 23: Going Deep into Redux — Store, Middleware, Thunks & DevTools This week, I focused on going beyond surface-level Redux usage and understanding how state management works in real-world applications. Instead of just connecting components and dispatching actions, I explored the full Redux architecture and learned how to structure scalable, maintainable applications. --- What I Learned 🧠 Redux Store — The Brain of Your App The store is the single source of truth. It holds all global state, provides dispatch() for updates, and ensures predictable state flow. Once I understood this, connecting components and reasoning about data became much easier. --- ⚡ Action Creators & Dispatch Action creators help standardize actions and reduce repetition. dispatch() is the only way to update state, making updates traceable and predictable. This week, I practiced using them effectively in real features. --- 🗂️ Scalable File Structure I experimented with organizing Redux code in a modular way: store.js for configuration Feature-based folders for slices/reducers This makes the app more maintainable and easier to scale. --- 🔌 Middleware & Thunks Middleware sits between dispatch and reducers. It allows for logging, debugging, and handling async logic. Thunks make API calls and async workflows manageable inside Redux without cluttering components. --- 🌐 API Calls via Redux I practiced moving API logic from components to Redux, handling: Loading states Success responses Errors This centralized data management improves both clarity and maintainability. --- 🛠️ Redux DevTools — Debug Like a Pro Redux DevTools made a huge difference. I could see: Every dispatched action Previous and next state Full action history Time-travel debugging allowed me to pinpoint where issues occurred — no guesswork, just clarity. --- Key Takeaways Redux enforces a predictable data flow Middleware extends functionality beyond basic state updates Thunks are essential for real-world async handling Proper structure improves scalability Redux DevTools makes debugging efficient and visual --- Next Steps Next week, I plan to explore Redux Toolkit to simplify many of these patterns and reduce boilerplate. --- If you’re learning Redux, my advice: Don’t just write reducers — understand the flow, explore middleware, and debug with DevTools. That’s when Redux truly starts making sense. #react #redux #frontend #javascript #webdevelopment #learninginpublic

𝐈 𝐮𝐬𝐞𝐝 𝐭𝐨 𝐭𝐡𝐢𝐧𝐤 𝐟𝐨𝐥𝐝𝐞𝐫 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐝𝐢𝐝𝐧’𝐭 𝐦𝐚𝐭𝐭𝐞𝐫 𝐢𝐧 𝐄𝐱𝐩𝐫𝐞𝐬𝐬.𝐣𝐬… 𝐮𝐧𝐭𝐢𝐥 𝐢𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐜𝐨𝐬𝐭𝐢𝐧𝐠 𝐦𝐞 𝐰𝐞𝐞𝐤𝐬. My early backends were a disaster. Everything was dumped into one giant folder routes, controllers, logic, helpers, everything mixed together. Every time I needed to add a new feature, I’d waste hours just trying to understand my own code. Debugging was painful. Scaling felt like a nightmare. After burning time on multiple client projects, I finally decided to fix it properly. Here’s the clean architecture I now use in every Express.js project in 2026: 𝐌𝐲 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: • src/  • config/ → All environment and app settings  • modules/ → Feature-based folders (users, products, orders…)  • controllers/ → Only handle HTTP requests  • services/ → Core business logic (this layer changed everything)  • routes/ → Clean route definitions  • middleware/ → Auth, rate limiting, validation  • utils/ → Reusable helpers  • database/ → Database config and models This simple change gave me: Much faster feature development Way better maintainability Cleaner debugging Easier collaboration The biggest lesson I learned the hard way: 𝐒𝐭𝐨𝐩 𝐭𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐥𝐢𝐤𝐞 𝐚 𝐛𝐮𝐧𝐜𝐡 𝐨𝐟 𝐫𝐨𝐮𝐭𝐞𝐬. Treat it like a real, well-structured application. A good folder structure doesn’t just look pretty it saves you dozens of hours over the lifetime of a project. What’s the biggest struggle you face when organizing your Express.js or Node.js backend? Drop your thoughts below 👇 I read every comment. #ExpressJS #NodeJS #BackendDevelopment #CleanArchitecture #FullStackDeveloper

Stop using useEffect and useState to fetch data. Seriously. Next.js 16 just made your favorite global state management libraries largely obsolete for basic fetching. Okay, maybe "obsolete" is a strong word. Tools like React Query still have a place for complex client mutations. But for 90% of what we build, the data fetching lifecycle has entirely changed. I recently migrated a dashboard to the new Next 16 pattern, and the amount of boilerplate I deleted was staggering. We used to build fragile client-side pipelines: → Component mounts → useEffect fires → loading state toggles → fetch happens → state updates It was messy, prone to race conditions, and caused terrible network waterfalls. Next 16 formalizes a much cleaner flow. First, you initiate your fetch directly in a Server Component. You don't even have to worry about over-fetching because Next automatically memoizes and dedupes the requests across the tree. Second, instead of awaiting everything at the top and blocking the initial page render, you just pass that raw Promise down to your Client Component as a prop. Finally, you unwrap that Promise inside the Client Component using React's new use() hook. Why is this such a massive upgrade? 🚀 Because passing a Promise from server to client natively integrates with Suspense. When you call use(promise), you don't need to manually track isLoading flags anymore. The UI just waits, gracefully shows your fallback boundary, and renders the data when it's ready. It feels weird at first. Passing an unresolved promise down the component tree feels like breaking a rule we were all taught in React 101. But once you see how it strips away dozens of lines of state management and lifecycle hooks, you realize this is how React was always meant to feel. We are finally moving away from managing the mechanics of fetching, and getting back to just building UI. Have you tried passing promises to the use() hook yet, or are you still holding onto your useEffect blocks? 👇 #Nextjs #React #WebDevelopment

Today I was exploring how we fetch API data in React applications. In many cases, when we fetch data directly inside components, each component makes its own API call. This made me think for a moment. If multiple components need the same data, does that mean we have to fetch the same API again and again? 🤔 That approach can lead to: • repeated API calls • unnecessary network requests • harder state management So I started looking for a better way to handle shared data across the application. That’s where Redux becomes very useful. Redux allows us to store application data in a centralized global store. Instead of fetching the same data in multiple components, we can fetch it once and store it in the Redux store. Any component in the application can then access that data from the store. Benefits: • centralized state management • avoids repeated API calls • predictable data flow • easier debugging In simple terms: Component-based fetching → data scattered across components Redux store → data managed in one place It was interesting to see how tools like Redux help maintain cleaner architecture in larger applications. #ReactJS #Redux #FrontendDeveloper #WebDevelopment #JavaScript #NextJS

After analyzing slow API endpoints on a client project I realized heavy Eloquent relationships were the culprit. The original queries were loading nested relationships without constraints which caused huge performance hits. I refactored those Eloquent calls to use eager loading with carefully selected columns and added relationship counts only when needed. Also pushed filtering and sorting logic down into query scopes instead of working with collections. This cut our response time in half and the frontend saw a noticeable difference in loading speed. Plus, the cleaner query logic made the codebase easier to maintain and debug. If your Laravel APIs feel sluggish, dig into how you use relationships and avoid loading unnecessary data by default. It pays off more than expected. Ever had a tricky Eloquent bottleneck like this? How did you tackle it? #CloudComputing #SoftwareDevelopment #Laravel #APIPerformance #BackendOptimization #EloquentORM #Solopreneur #DigitalFounders #ContentCreators #Intuz

Everything looked fast—until one part of the stack quietly became the bottleneck. And it wasn’t the one everyone blames. For weeks, the team kept tuning the frontend. Shaving milliseconds. Optimizing bundles. Pushing React and Next to their limits. But the slowdown never moved So we followed the data trail. Layer by layer. And the real culprit showed up in plain sight. → A query running without proper indexing → A backend function doing “just a bit too much” → A chain of dependencies nobody had questioned in years Funny how the parts we assume are fine are often the ones silently dragging everything down. Speed doesn’t come from polishing what’s already fast. It comes from challenging the parts you take for granted. Where’s the hidden bottleneck in your stack right now? #engineering #webperformance #softwarearchitecture #backend #databases

Clean Architecture in React is not that difficult. (when we stick to the Pareto principle) Here’s your 20% effort: 1. Extract all business logic from React/framework code: ↳ Into a Service functional layer. 2. Invert the code that communicates with the backend: ↳ Firebase usage ↳ Apollo client for GraphQL ↳ Calls to server actions in Nextjs This gives 80% of the benefits. The code is now easy to test. Business rules — easy to change. Exactly what we need 💥 Repost ♻️ to help your network grow. -- P.S. Which of these 2 steps do you already use in the codebase at work?⁣ ⁣