AI Refactors Code, Breaks Architecture

A few days ago I was debugging a Next.js app, API key accidentally exposed in a client component, AI call timing out on slow connections, UI frozen while waiting on a response. Classic mistakes. But they taught me something I now apply to everything I build. AI doesn't belong in your UI layer. It belongs at the data layer. Here's what I mean: The best pattern I've found is to keep AI logic server-side (API routes or Server Components), pass clean typed results down to your client components. Your UI stays fast. Your keys stay safe. Your prompts stay yours. Practically: -> AI calls live in the server, not the component -> Zustand or React Query for client state; Redux only for real enterprise complexity -> TypeScript + Tailwind is the best target for AI-generated UI right now — readable, editable, production-safe The stack that makes all of this clean in 2026: React 19 + Next.js 15 + TypeScript 5 + Tailwind v4 Server Components are default now. TypeScript is no longer a debate, it's just how production apps are built. Tailwind v4 dropped the config file entirely. Now building Errnd solo, the question I ask myself before every architectural decision is: where does intelligence live in this component tree? Get that answer right and everything downstream gets easier. What patterns are you reaching for when integrating AI into React? Would love to compare notes! #ReactJS #TypeScript #FullStack #BuildingInPublic #JavaScript #WebDevelopment #SoftwareEngineering #AI #TechCareers #FullStackDeveloper #NextJS #TypeScript #RubyRevenko

It’s always interesting watching a product move from a Next.js web app to a React Native mobile client. For me, the core challenge isn't the UI layer, but ensuring the API contracts stay clean. When we push an AI feature, like a real-time recommendation engine, the API design is everything. We lean heavily on FastAPI for the Python side, keeping our GraphQL resolvers lightweight and focused on data orchestration, often pulling from Supabase for persistence. The real difference is handling state synchronization across platforms. Mobile requires aggressive caching strategies that the web browser handles more transparently. It's about optimizing that first meaningful paint, regardless of the device accessing the backend logic. What's your team's go-to pattern for unifying mobile and web state management right now? #SoftwareArchitecture #ReactNative #FastAPI

How I structure every NestJS + Next.js project from day one Most full-stack projects fail not because of bad code, but bad architecture decisions made on day one. After 5+ years building scalable web apps for startups and enterprise teams, here is the folder structure I use on every NestJS + Next.js project: Backend (NestJS): ├── modules/ → feature-based, never by file type ├── common/ → guards, interceptors, decorators ├── config/ → env validation with Zod ├── database/ → TypeORM entities + migrations └── ai/ → LLM service layer (isolated) Frontend (Next.js App Router): ├── app/ → routes only, no logic ├── features/ → co-located components + hooks ├── lib/ → shared utilities ├── services/ → API calls (typed, never raw fetch) └── store/ → Zustand or Redux Toolkit 3 rules I never break: → No business logic in controllers → No API calls in components → AI/LLM layer always isolated behind a service interface This separation saved a client 3 weeks of refactoring when we swapped GPT-4 for a self-hosted model mid-project. What does your project structure look like? Drop it below — I'll give honest feedback. #FullStackDevelopment #NestJS #NextJS #TypeScript #SoftwareArchitecture

NestJs won't properly scale with this structure. Having tens of controllers or services in the same folder may be confusing to follow. That's why the modules structure works, you have all the components you need for that feature in the same folder. You could also separate concerns and import shared modules across the app.

How I structure every NestJS + Next.js project from day one Most full-stack projects fail not because of bad code, but bad architecture decisions made on day one. After 5+ years building scalable web apps for startups and enterprise teams, here is the folder structure I use on every NestJS + Next.js project: Backend (NestJS): modules/ common/ config/ database/ ai/ → LLM service layer (isolated) → feature-based, never by file type → guards, interceptors, decorators → env validation with Zod → TypeORM entities + migrations Frontend (Next.js App Router): → co-located components + hooks → routes only, no logic app/ features/ lib/ services/ store/ → shared utilities → API calls (typed, never raw fetch) → Zustand or Redux Toolkit 3 rules I never break: → No business logic in controllers → No API calls in components → Al/LLM layer always isolated behind a service interface This separation saved a client 3 weeks of refactoring when we swapped GPT-4 for a self-hosted model mid-project. What does your project structure look like? Drop it below - I'll give honest feedback. #FullStackDevelopment #NestJS #NextJS #TypeScript #SoftwareArchitecture #next #frontend #softwareEngineer

I came across a job post recently asking for help fixing a React web app. Nothing unusual there — until I looked at the details. One file. Over 6,000 lines of code. Inside a React project. And it was apparently generated with Claude. The file wasn’t just long. It was a maze. Massive components. Mixed concerns. State logic tangled with UI. Helper functions scattered everywhere. The whole thing felt like a single giant blob trying to act like an application. What made it worse was that the project was wildly overengineered. The problem it was solving was simple. The architecture looked like it was designed for a distributed system running a stock exchange. This is the pattern I’m starting to see more often with AI-generated projects. Tools can generate a lot of code very quickly. But code volume is not architecture. And when the system grows without someone guiding the structure, you end up with something that technically “works” but becomes nearly impossible to maintain. Personally, I’ve never been a big fan of Claude for coding. Every tool has its place, but a lot of what I see coming out of Claude-generated projects feels bloated and messy. If you’re going to use AI to write code, the real skill isn’t prompting. It’s knowing when to stop it, restructure the system, and simplify the architecture. Otherwise you’re just generating future debugging sessions. If you’ve run into one of these AI-generated codebases that turned into a maintenance nightmare — DM me. #SoftwareDevelopment #ReactJS #AI #Engineering #CleanCode

I spent 4 hours on a React bug. AI solved it in 90 seconds. Here is what I learned. This is a story about a bug that was making me lose my mind. Client project. React + Next.js frontend. Node.js backend. The app worked perfectly in development. In production, users were randomly seeing stale data after updating their profile. No error. No console warning. Just wrong data displayed. I spent 4 hours checking: → API responses — correct → State management — correct → Network calls — correct → Cache headers — correct Everything looked right. WHAT I TRIED FIRST 😴 Manual debugging. Reading docs. Searching GitHub issues. Nothing 🫥 . WHAT FINALLY WORKED 😋 Out of frustration, I pasted the full component + the API route + Next.js config into Claude with this prompt: In Next.js App Router, I am seeing stale data after a mutation. The API returns correct data. Here is the component and the API route. Identify why the UI does not reflect the update. Response in 12 seconds: Your Server Component is caching the fetch response. Next.js App Router caches fetch by default. After your mutation, call revalidatePath() or revalidateTag() in your server action. Your current implementation updates the database but does not invalidate the cache. That was it. One cache invalidation call. Bug gone. WHAT THIS CHANGED FOR ME I now paste errors into AI before manual debugging — not after. Not because AI is always right. Because: → It narrows the search space in seconds → It surfaces context I would have overlooked anyway → When it is wrong, it is wrong in a useful direction The 2025 Stack Overflow survey found 35% of developer visits to Stack Overflow are now caused by AI-generated code issues. AI creates bugs. AI also resolves them faster than any other tool. The engineer who knows how to use both directions has a serious advantage. What is the most memorable bug you ever debugged? Drop it below — I want to build a thread. #React #NextJS #NodeJS #WebDevelopment #FullStackDevelopment #Debugging #AIEngineering #TypeScript #SoftwareEngineering #DeveloperLife

In large React codebases, the real complexity isn’t inside a single file. It’s in how components connect to each other. Where a component is used. What depends on a shared hook. What might break if you change one prop. So I built rkg — React Knowledge Graph. rkg is an open-source framework that turns your React codebase into a knowledge graph. It maps relationships between components, their usage, dependencies, and impact surface. This helps prevent duplication and reduces massive side effects when changing logic. Instead of treating files as isolated units, agents — and developers — can reason about the system as a connected structure. If AI is going to meaningfully collaborate on frontend systems, it needs more than raw code. It needs a map.

⚡ Node.js Event Loop Explained (Why Node.js is So Fast) One of the most common questions: 👉 “Node.js handles thousands of requests with a single thread… here’s how 👇” The answer is the Event Loop. Let’s break it down 👇 --- 🧠 1️⃣ Single Thread — But Non-Blocking Node.js runs on a single thread. But instead of blocking operations, it uses: ✔ Asynchronous programming ✔ Non-blocking I/O This allows it to handle multiple requests efficiently. --- ⚙️ 2️⃣ How Event Loop Works When a request comes in: 1️⃣ Task goes to Call Stack 2️⃣ Async operations go to Web APIs / Libuv 3️⃣ Completed tasks move to Callback Queue 4️⃣ Event Loop pushes them back to Call Stack --- 🔁 Event Loop Flow Call Stack ⬇ Async Task (API / DB / Timer) ⬇ Callback Queue ⬇ Event Loop ⬇ Execute Callback --- 📊 Why This is Powerful Instead of waiting for one task to finish… Node.js continues processing other requests. ✔ Handles thousands of connections ✔ Efficient for I/O-heavy apps ✔ Great for real-time systems --- 🚀 Real-World Use Cases Node.js is widely used for: 💬 Chat applications 📡 Real-time APIs 📊 Streaming systems 🌐 Backend services --- ⚠️ Important Note CPU-heavy tasks can block the event loop. That’s why Node.js is best for: ✔ I/O-heavy tasks ❌ CPU-intensive operations (use workers) --- 💡 Final Thought Node.js is not fast because it’s multi-threaded… It’s fast because it doesn’t wait. --- Have you faced event loop blocking issues in your apps? Let’s discuss 👨💻 #NodeJS #EventLoop #BackendDevelopment #JavaScript #SystemDesign #SoftwareEngineering #AsyncProgramming #DeveloperCommunity #TechExplained #WebDevelopment

What port is your Next.js app running on right now? If you had to think for even a second — this tool is for you. Say goodbye to localhost:3000 chaos 👋 If you've ever dealt with: ❌ Port collisions (EADDRINUSE errors at 9am) ❌ Forgetting which service runs on which port ❌ Messy URLs like :5173, :8080, :3001 scattered across tabs ❌ AI tools like Cursor guessing the wrong endpoint …this one's for you. 🚀 Meet Portless → https://port1355.dev/ It replaces port-based URLs with clean, stable .localhost names — for both humans and AI agents. Instead of: ❌ next dev → http://localhost:3000 You get: ✅ portless myapp next dev → https://myapp.localhost One line change in your package.json. That's it. ⸻ 💡 Why it's a game-changer: ✨ Zero port conflicts — smart reverse proxy, auto-assigned ports under the hood. Works with Next.js, Vite, Express, Nuxt, Astro and more 🔒 Instant HTTPS — one-time cert setup, no more browser security warnings 🌿 Git Worktree Magic (my personal favorite) — branch-based URLs, automatically: 👉 fix-ui.myapp.localhost No config. Just works. 🏗️ Microservices-friendly — structure local apps like production: 👉 api.myapp.localhost 👉 docs.myapp.localhost 🤖 AI-friendly — stable, predictable URLs mean fewer wrong endpoint guesses from your AI coding tools ⸻ ⚡ My take: Portless doesn't introduce something fundamentally new. It removes a friction every developer silently suffers from every single day. If you're working with React, Node, Next.js, multiple services, or AI-assisted coding, this is absolutely worth trying. 👉 https://port1355.dev/ #softwareengineering #webdevelopment #developerexperience #reactjs #nodejs #ai