Ever wondered why your app slows down as your database grows? 🐢 Chances are, you've hit the N+1 problem — and you might not even know it. Here's what happens: ✅ You fetch 100 users → 1 query ❌ Then fetch each user's posts one by one → 100 more queries That's 101 queries for something that should take just 1. The fix? A simple JOIN or batch query can reduce hundreds of round trips to the database down to a single request — making your app dramatically faster and easier to scale. I wrote a full breakdown with code examples covering: → What the N+1 problem actually is → Why it kills performance at scale. → 2 ways to fix it (JOINs and batch queries) 🔗 Read it here: https://slugy.co/id49CqI #WebDevelopment #Database #JavaScript #BackendDevelopment #SoftwareEngineering #Programming
Fixing the N+1 Problem in Database Queries
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⚙️ Phase 2: What’s Inside a Spring Boot App? When you add spring-boot-starter-web, something interesting happens… You’re not just getting libraries. You’re getting: ✔️ A web server ✔️ Servlet container ✔️ Auto-configuration ✔️ Production-ready defaults By default, Spring Boot includes an embedded server. That means: 👉 No need to install anything manually 👉 Your app becomes self-contained Even better: You can switch servers easily by changing dependencies. Your app is no longer tied to a single runtime environment. 💡 This abstraction is what makes Spring Boot flexible and production-friendly. Next post: What actually happens when you run your Spring Boot app? #SpringBoot #Java #BackendDevelopment #SoftwareEngineering #SystemDesign #WebDevelopment #Programming #Developers #SpringFramework #Microservices #JavaBackend #TechDeepDive #APIDevelopment
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I’ve recently completed a project I’ve been working on: ReportForge, a desktop application focused on pentest reporting. The idea came from a practical need. Most existing tools are either cloud-based, which is not ideal when handling sensitive data, or overly complex for individual use. I wanted something simpler, fully local, and easier to control. ReportForge allows you to structure pentest projects, document findings, manage evidence, and generate reports in a consistent way, while keeping all data stored locally. From a technical standpoint, it’s built with Python, using PySide6 for the interface, SQLAlchemy, and SQLite. The main focus was on building something usable and coherent, not just functional. Repository: https://lnkd.in/e-mFTrWg Feedback is welcome.
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Using too much LocalStorage in your project? Here's why that's risky. LocalStorage is convenient — but it has limits. What goes wrong: • It only holds ~5MB per browser • Hitting the limit = app crashes or stops saving data • It's never encrypted; sensitive data is exposed • Clears when the user wipes browser data • Slows your app if you store large/complex objects What to do instead: • Store only small, non-sensitive data (theme, language, UI prefs) • Use a backend database for real data • Use IndexedDB for large client-side storage • Never store passwords, tokens, or personal info • Clean up old keys you no longer use Rule of thumb: LocalStorage is a sticky note, not a database. Treat it like one. #WebDev #JavaScript #Frontend #Programming #TechTips
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A Spring Boot mistake that silently kills your app performance. Not closing database connections properly. I worked on an app that kept crashing randomly in production. Memory usage would spike. Response times would double. Then the whole thing would freeze. We checked everywhere. Code looked fine. No obvious memory leaks. The problem? We were opening database connections but not releasing them back to the pool. Each request grabbed a connection and never let go. The fix was simple. Use try-with-resources. Let Spring manage the connection lifecycle. Stop manually opening connections without closing them. After the fix, memory usage dropped 40%. No more random crashes. The code looked fine. The logs showed nothing. But the connection pool was slowly choking the entire application. If your Spring Boot app slows down over time and restarts fix it temporarily, check your connection management first. What's a silent performance killer you've found in production? #SpringBoot #Java #Backend #Programming #SoftwareEngineering
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Remy is now in public alpha. You describe what you want to build in plain language. Remy turns that into a spec — and compiles it into a full-stack app: → backend → database → frontend → auth → deployment The spec becomes the source of truth. The code is derived. This changes what programming looks like. Try it in alpha: https://hubs.li/Q04bFPrj0
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Claude Code lives in the command line, which has a small learning curve if your developer isn’t already comfortable there. Claude Code isn’t a shiny app with buttons and menus. It’s a command-line tool, which means your developer types text commands into a terminal window to use it. Most developers are already comfortable with this — it’s their natural habitat. But if your team is newer or less experienced, there might be a small adjustment period before they’re using it fluidly. It’s not a major hurdle, but it’s worth knowing it exists. KISS METHOD 💋 💋 Keep it super simple
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𝐃𝐚𝐲 5/30: 𝐓𝐡𝐞 2-𝐇𝐨𝐮𝐫 𝐁𝐮𝐠 𝐓𝐡𝐚𝐭 𝐖𝐚𝐬 𝐚 1-𝐖𝐨𝐫𝐝 𝐅𝐢𝐱 😅 Spent hours last night fighting a “Not Found” error in my app. My frontend kept asking the backend: “𝘎𝘪𝘷𝘦 𝘮𝘦 𝘵𝘩𝘦 𝘶𝘱𝘭𝘰𝘢𝘥 𝘭𝘪𝘴𝘵.” But the backend only understood: “𝘚𝘢𝘷𝘦 𝘢 𝘯𝘦𝘸 𝘶𝘱𝘭𝘰𝘢𝘥.” They were speaking two different languages. 𝑮𝑬𝑻 𝒗𝒔 𝑷𝑶𝑺𝑻. 𝑻𝒉𝒆 𝒇𝒊𝒙? Changed one word in my code: `𝒫𝒪𝒮𝒯` → `𝒢𝓔𝒯`. Instantly worked. 𝑳𝒆𝒔𝒔𝒐𝒏: In tech, small typos cause big headaches. Always double-check how your app asks for data vs how your server expects it. 2 hours debugging. 5 seconds fixing. Priceless lesson. #30DaysOfCode #BuildingInPublic #LessonsInCode #WebApp #RecruitmentPlatform #Jobs #React #Code #Challenge #Programming #Software #Engineer
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Your API is slow. But your code looks fine. Common Spring Boot issue: N+1 queries. 1 query for parent • N queries for children Suddenly: • More DB calls • Higher latency • Poor performance Fix: • Use JOIN FETCH • Use DTO projections • Monitor queries Spring Boot didn’t slow your app. Your data access did. #SpringBoot #Java #Performance #Backend #SystemDesign #Debugging
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Have you ever wondered how to tell NestJS which .env file to load when running your app? Managing multiple environments can quietly become a real headache—switching configs, risking mistakes, and slowing down development. This is not a major deep-dive article, just a simple knowledge-sharing post from my experience. Ask yourself this: what if you could control environments cleanly with a single variable? Take a moment, and you will find the answer to how I solved this problem. The approach uses NestJS and cross-env, and the technical details are in the article: https://lnkd.in/dMtgtfve #NestJS #NodeJS #BackendDevelopment #SoftwareEngineering #WebDevelopment #ConfigManagement #EnvironmentVariables #DevTips #Programming #Developers #BellBit
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Your app isn’t slow… it’s leaking memory. And most developers don’t notice until it’s too late. In large JavaScript applications, memory leaks quietly destroy performance... especially in real-time systems. The scary part? Your app still “works”… until it crashes. So what’s really happening? JavaScript uses automatic garbage collection, but it’s not magic. If references are unintentionally kept alive, memory can’t be freed. Common culprits: → Forgotten event listeners → Closures holding stale data → Detached DOM nodes → Long-lived caches & timers In one real-time project, fixing just a few lingering listeners reduced memory usage by 40% 🚀 The key insight: Memory leaks aren’t bugs you see... they’re problems you feel over time. Build with awareness. Monitor aggressively. Clean up intentionally. More insights → webdevlab.org What’s one hidden performance issue you’ve discovered in your apps? #JavaScript #WebDevelopment #PerformanceOptimization #FullStackDeveloper #SoftwareEngineering #CleanCode #DevTips #Programming #RealTimeSystems
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