How one UI change broke my entire app: A lesson in connected layers

Why I'm Team "Both" in the Code Wars 🤝💻 Custom Code vs. Low-Code? Wrong Question. The Answer is Strategic Hybrid. The low-code market is racing toward $82.37 billion by 2034, yet tech purists still treat it like the knockoff version of "real" development. 🙄 Meanwhile, smart enterprises are asking: "Where does each approach give us unfair advantages?" 🧩 My hybrid playbook: Low-Code Territory (Mendix, Bubble, Zapier): UI/UX that needs to change fast ⚡ Workflow orchestration Business logic that non-devs own Full-Stack Territory (TypeScript/React/Python): Custom AI inference endpoints 🤖 Performance-critical components Proprietary algorithms (your secret sauce) 📊 The numbers don't lie: Low-code cuts dev time by 90% and costs by 70% 75% of enterprises will use at least 4 low-code tools by 2025 By 2026, 80% of low-code users will be business technologists, not IT This isn't compromise—it's optimization. The winning move? Build a system where citizen developers can move fast in safe zones, while your dev team focuses on high-impact custom work. Poll time: 🗳️ 🔧 Team Custom Code 🧩 Team Low-Code 🤝 Team Hybrid Drop your emoji below! #LowCode #FullStack #DeveloperLife #SmartArchitecture #TechStrategy

🚀 Shipped Knight.dev — a full-stack, developer-centric platform engineered for modern sandboxing, real-time collaboration, and AI-assisted code generation workflows. Built on Next.js 15 (App Router), Clerk Auth, Prisma ORM, and Inngest background jobs, tightly integrated with tRPC for type-safe APIs and the E2B Code Interpreter. Designed with an event-driven architecture and Edge middleware to ensure speed, isolation, and scalability. 🧠 Architectural Highlights Next.js 15 + Edge Middleware → Hybrid rendering (ISR + SSR) with dynamic route grouping and API layer isolation. Authentication Layer → Secure session handling, OAuth federation, and multi-tenant user management via Clerk. tRPC + Prisma Integration → End-to-end type safety between client and server, eliminating schema drift. Inngest-powered Workflows → Asynchronous background job orchestration for code analysis and model-driven builds. E2B Sandboxed Interpreter → Virtualized execution layer for secure, browser-based code evaluation. UI System → Built with Radix UI, ShadCN, and TailwindCSS, enabling a fully modular, atomic component library. File System Simulation → In-browser VSCode-style File Explorer for real-time file management and project isolation. Telemetry + Logging → OpenTelemetry + Winston integration for structured logging and performance observability. ⚙️ Key Tech Stack Frontend: Next.js 15 • TypeScript • Radix UI • ShadCN • TailwindCSS Backend: tRPC • Prisma • Inngest • Clerk Auth Infra & Observability: OpenTelemetry • Vercel Edge Runtime Dev Tools: TurboRepo • ESLint • Prettier 💡 Core Idea Knight.dev reimagines the modern developer workflow — from authentication to real-time code generation — within a composable, secure, and performance-optimized architecture. Every subsystem (auth, sandbox, execution, UI) is loosely coupled and extensible for future AI agent integrations. 🌐 Live Preview & Source 🔗 Live App: https://lnkd.in/guwcYRQ7 💻 Full Architecture & Source Code: https://lnkd.in/gRRSQMaQ The GitHub repository includes complete architectural documentation — covering the design of authentication, sandboxing, background jobs, tRPC APIs, and UI composition systems. #webdevelopment #fullstackdeveloper #softwareengineering #programming #developercommunity

🔎 𝟭𝟳 𝗟𝗲𝗻𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗨𝘀𝗲 𝘁𝗼 𝗥𝗲𝘃𝗶𝗲𝘄 𝗧𝗵𝗲𝗶𝗿 𝗖𝗼𝗱𝗲 - 𝗕𝗲𝘆𝗼𝗻𝗱 𝗝𝘂𝘀𝘁 "𝗗𝗼𝗲𝘀 𝗜𝘁 𝗪𝗼𝗿𝗸?" Writing clean, robust, future-proof code requires seeing your code through different lenses - each revealing a unique kind of flaw or improvement. Here are 17 lenses every developer should learn to use: 1. 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 / 𝗗𝗲𝘀𝗶𝗴𝗻 - Are responsibilities clear and boundaries well-defined? 2. 𝗥𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆 / 𝗦𝘁𝘆𝗹𝗲 - Can someone else understand it in 30 seconds? 3. 𝗠𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - How easy is it to change without breaking things? 4. 𝗧𝗲𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - Could you mock dependencies and test this in isolation? 5. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 - Any wasted renders, loops, or memory leaks? 6. 𝗘𝗿𝗿𝗼𝗿 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 - What happens when something goes wrong? 7. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 - Are you exposing anything sensitive or trusting user input too much? 8. 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - Are logs structured and useful when debugging? 9. 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - Will it still hold up with 10× the data or users? 10. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗗𝗫) - Is it easy for new devs to onboard or debug? 11. 𝗣𝗼𝗿𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - Will this survive library or platform updates? 12. 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - Any unnecessary or outdated packages? 13. 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 / 𝗶𝟭𝟴𝗻 - Can everyone use and understand your UI? 14. 𝗖𝗼𝘀𝘁 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 - Are your cloud reads/writes or function calls optimised? 15. 𝗖𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆 - Any race conditions lurking in async code? 16. 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 / 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 - Are you respecting data protection rules? 17. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 - Would someone know how to extend or maintain this? You don’t have to apply all 17 lenses every time, but even 3-4 can turn "working code" into long-lasting code. 🤔 Which of these lenses do you use most often when reviewing your code? #SoftwareEngineering #CleanCode #CodeReview #DeveloperTips #SoftwareDesign #SoftwareCraftsmanship

🧠 Can No-Code / Low-Code tools replace traditional programming? The short answer: ✅ Sometimes yes — for speed and simplicity ❌ But not always — especially when complexity hits Let’s break it down 👇 --- When No-Code / Low-Code works well: 🚀 Building MVPs or prototypes fast 🔗 Connecting services like forms, sheets, email, APIs 📊 Creating dashboards or basic internal tools 🧑💼 Empowering non-tech teams to build solutions without waiting on devs --- But when do you still need code? 🔍 When you need complete customization & flexibility 🧠 When your logic is complex, multi-layered, and dynamic ⚙️ When performance matters (speed, scale, optimization) 🔒 When integrating with secure, legacy, or enterprise systems 📈 When you need to scale or productize what you’re building --- 🎯 Bottom line: No-Code is a great tool — not a full replacement. It empowers speed and experimentation, but code still wins in precision, scalability, and control. #NoCode #LowCode #ProductivityTools #DigitalTransformation #SoftwareEngineering #SmartWorkflows #BusinessTech #BuildFast #DevTools #ModernWorkspaces

Spending more time #debugging than #developing? Level up your dev experience with our #Developer’s #Guide to #Observability. Dive into best practices for understanding how modern observability can help you stay focused, reduce friction, and deliver resilient, maintainable #software that’s built to last. #Dynatrace #Understandyourbusinesslikeneverbefore 👉 Get the insights you need to get started. https://lnkd.in/d6k3n4nr

Ever spent ten minutes trying to guess what a function named handleThing() actually does? We have all been there. Welcome back to FrontifyMe. Today we’re talking about the unsung heroes of scalable architecture: naming conventions, discoverability, and code readability . When your project is small, naming things casually feels fine. But as your team grows, every vague or inconsistent name adds friction. Suddenly, half your day goes into figuring out what someone meant by getData() or whether userDetails and userInfo are the same thing. Multiply that by a team of ten, and you have a productivity leak. Good naming is self-documentation. You shouldn’t have to open a file to understand what it does, the name should tell you. Readable code saves time, reduces bugs, and builds trust across teams. Here’s a quick look at how clarity changes the game: ============================================= Poor naming - data.js - handleThing() - useCustom() ❌ Doesn’t describe intent ❌ Forces others to read code to guess behavior ❌ Hurts collaboration when teams grow ============================================= Good naming - useFetchUserData() - updateBillingAddress() - formatCurrency() ✅ Explains purpose at a glance ✅ Easier to search and reuse ✅ Makes onboarding and reviews faster ============================================= Discoverability is another hidden superpower. Consistent patterns make it easy to find things; if every API hook starts with useFetch, you instinctively know what to look for. The same applies to folder naming, utility functions, and shared components. Predictability saves time. Readable code isn’t about writing less, it’s about writing so clearly that others don’t need to ask questions. It’s a quiet sign of a mature codebase. How do you maintain naming and readability standards across large teams? Do you rely on conventions, linters, or code reviews to keep things consistent? #FrontifyMe #FrontendArchitecture #ReactJS #CleanCode #WebDevelopment #ScalableApps

🔥 𝟱 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀 𝗔𝗹𝗺𝗼𝘀𝘁 𝗘𝘃𝗲𝗿𝘆 𝗡𝗲𝘄 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗠𝗮𝗸𝗲𝘀 (𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝗳𝗶𝘅 𝘁𝗵𝗲𝗺) When I started backend development, I made all of these mistakes. And honestly? Most beginners still do. Let’s break that cycle 👇 ❌ 𝟭️⃣ 𝗠𝗮𝗸𝗶𝗻𝗴 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗦𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 If every request waits for every action to complete, your system will choke under even moderate load. ✅ Fix: Use queues, events, and async flows for tasks that don’t need instant responses (email, notifications, logs, report generation, etc.) Async = scalability + reliability. ❌ 𝟮️⃣ 𝗜𝗴𝗻𝗼𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴 Your API isn’t slow — your query is slow. Beginners let the DB do full scans, then blame the API. ✅ Fix: Index columns used for filters, joins, sorts. This one skill can make you 10× faster. ❌ 𝟯️⃣ 𝗡𝗼 𝗥𝗮𝘁𝗲 𝗟𝗶𝗺𝗶𝘁𝗶𝗻𝗴 / 𝗧𝗵𝗿𝗼𝘁𝘁𝗹𝗶𝗻𝗴 One spike of traffic can crash your entire service — even by accident. I’ve seen this happen in production many times. ✅ Fix: Always add: 🔸 Rate limiting 🔸 Throttling 🔸 Circuit breakers Protect your service before you expose it. ❌ 𝟰️⃣ 𝗣𝘂𝘁𝘁𝗶𝗻𝗴 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗟𝗼𝗴𝗶𝗰 𝗶𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗿𝘀 Controllers are not your brain. They’re just entry points. Beginners mix validation, processing, and business logic in one place — and it becomes spaghetti. ✅ Fix: Move real logic to service/use-case layers. Your code becomes cleaner, testable, and scalable. ❌ 𝟱️⃣ 𝗡𝗼 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 / 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 If you can't see your system, you can’t fix it. It’s that simple. Beginners often skip: 🔸 Logs 🔸 Metrics 🔸 Dashboards 🔸 Alerts Then struggle to debug anything. ✅ Fix: Add observability from Day 1. Your future self will thank you. Backend isn’t just “write an API.” It’s design, strategy & defensive engineering. ➡️ Follow BackendCraft by Shashank Sharma for backend lessons, logic building & real-world architecture insights. #BackendDevelopment #SystemDesign #BackendEngineering #SoftwareEngineering #ScalableSystems #CleanArchitecture #DeveloperGrowth

Async SSR Is Changing How We Build the Web Frontend frameworks are entering a new era — async-first. With SvelteKit 2.43, developers can now use await inside components and run remote functions that bring backend logic right next to your UI. It’s not just an update — it’s a rethink of how SSR, hydration, and data fetching work together. No more splitting logic across files. No more over-fetching or hydration lag. Just faster, cleaner, and smarter rendering. I just published a deep dive on SvelteKit 2.43’s async SSR & remote functions — what they are, why they matter, and how to use them today. 👉 Read the full post here: https://lnkd.in/dAM7T6Jr The future of frontend is async — and SvelteKit is showing us what that looks like. Follow Ghazi Khan & iocombats for frontend insights, developer tools, and architecture deep dives.

This is the lesson I wish someone told me before my first production deploy :) Most developers overcomplicate things. They hear “scalability” “load balancing” “microservices” and freeze. But under the hood, it’s all the same pattern: Input → Logic → Output When I built my first backend feature, it wasn’t flashy. No buzzwords. Just: • a clean API, • clear data flow, • and logic that didn’t fight the system. That small project changed how I see engineering. Because once you understand how systems talk, everything else falls into place. So when people say, “Backend is getting too complex” I smile :) Because complexity is just clarity you haven’t reached yet. ➡️ You don’t need to master every new stack. ➡️ Just learn how requests move, how data flows, and how systems scale. That’s where you grow from a coder to an engineer 😎 ♦️ Software development feels magical until you realize it’s just clean architecture and good thinking. 👉 What’s one backend lesson you wish someone told you earlier? ────────────────────────────────────────────── Hyyyy I’m Mohsin Ali. I’ve been building backend systems for 4+ years. Sharing what I’ve learned the hard way so you don’t have to. 💡 Follow for more simple, experience backed dev tips :)) #FullStackDeveloper #BackendDevelopment #SystemDesign #SoftwareEngineering #CleanArchitecture #TechLeadership #LearningInPublic #BuildBetter

🚀 Exciting News for Dev Teams & Engineers! I just discovered Workflow DevKit — an Open Source game-changer for building reliable, stateful, asynchronous workflows in TypeScript/JavaScript. 🧠 ✨ Features • With a simple directive like "use workflow", you transform normal async functions into durable workflows that Persist State, Resume After Failures or Deploys, and Auto-Retry steps. • You can `await sleep("7 days")` inside them and NOT hold up compute resources — perfect for onboarding flows, cooldowns, or long-running processes. • Built-in observability: inspect workflow runs, steps, logs & metrics out of the box. No extra wiring. 🧩 Where this fits If you’ve ever built: • Onboarding workflows that trigger, wait, then check status • AI agent pipelines that span multiple steps and may need to pause or retry • Systems that need to reliably handle failures, retries, long delays — this tool could simplify your architecture Big Time. 💡 Simple example Imagine you run an e-commerce site and want to implement a “post-purchase follow-up” workflow: 1. Order placed – user places an order. 2. Send order confirmation email immediately. 3. Wait 3 days – check if user has submitted a review. 4. If not reviewed yet → send reminder email. 5. Wait 30 days – send “how’s your product” survey & upsell offer. With Workflow DevKit you could write: See the code below 👇🏻 In this example: • You create the workflow for a user’s order follow-up. • You send immediate confirmation, then wait 3 days to check review status, then wait 30 days to send a survey + upsell. • The tool handles durability, retries, state persistence — so if your system restarts or an email fails, you’re covered. • No custom job-scheduler, no mess of durable queue logic — just plain async code that reads well and is maintainable. Workflow DevKit (Website): https://useworkflow.dev Workflow DevKit (GitHub): https://lnkd.in/dgvMZNjx — #developer #javascript #typescript #backend #workflow #reliability #ai #softwareengineering