Edson D.

Never expose JPA entities directly in your APIs. In one of my past microservices, we took the shortcut of returning entities. It worked fine… until production: • Clients started seeing internal IDs and audit fields. • A sensitive DB flag accidentally leaked in a response. • A schema change suddenly broke backward compatibility. The root cause? Entities aren’t designed to be API contracts. The fix we implemented: DTOs + MapStruct ✅ DTOs (Data Transfer Objects) only expose fields the client should see. ✅ MapStruct generates the mapping code at compile-time — no boilerplate, no missed fields. ✅ Centralized mappers keep APIs consistent and maintainable. ✅ Unit tests catch issues when new entity fields get added. Even though User had 20+ fields, our UserDTO only exposed 5 safe ones — and we never worried about leaking sensitive data again. 💡 Takeaway: • Entities = persistence. • DTOs = API contracts. • MapStruct = glue that makes it clean, safe, and fast. One leaked field can be more damaging than a 500 error. Protect your APIs with DTOs. #springboot #java #programming

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🚀 Angular Trick – On-Demand Preloading Strategy  Most devs know about lazy loading, some know about preloading,   but did you know you can preload modules *on demand* via a service?  ✅ Use a service to control when to preload   ✅ Load modules only when triggered   ✅ Great for role-based features, A/B tests, premium content   ✅ Saves bandwidth until actually needed  🔹 Example: Custom Preloading Strategy @Injectable({ providedIn: 'root' }) export class OnDemandPreloadingStrategy implements PreloadingStrategy {  private preloadRequests = new Subject<string>();  preload(route: Route, load: () => Observable<any>): Observable<any> {   return this.preloadRequests.pipe(    filter(path => path === route.path),    take(1),    switchMap(() => load())   );  }  preloadRoute(path: string) {   this.preloadRequests.next(path);  } } 🔹 Routes const routes: Routes = [  { path: 'reports', loadChildren: () => import('./reports/reports.module').then(m => m.ReportsModule) },  { path: 'analytics', loadChildren: () => import('./analytics/analytics.module').then(m => m.AnalyticsModule) } ]; 🔹 Trigger Preload constructor(private preloadStrategy: OnDemandPreloadingStrategy) {} enableAnalytics() {  this.preloadStrategy.preloadRoute('analytics'); } 🔥 Real-world uses: feature flags, user permissions, deferred heavy modules   💡 Cleaner UX + better performance  #Angular #Performance #WebDev #LazyLoading #Frontend  👉 Follow me for more Angular hidden tricks

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Sometimes ORM feels like magic… until it isn’t. Developers struggle daily in the desert of data. I’ve run into this a few times in .NET projects where performance suddenly dropped and it took forever to figure out why. The usual suspects: • Lazy Loading pulling thousands of records without me noticing • Queries with way too many joins • Manual mapping configs that turn into a headache later One thing that really helped me was 𝐄𝐧𝐭𝐢𝐭𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫. Instead of writing complex mappings by hand, I could just visualize my EF Core model, tweak relationships, and generate clean code. It saved me hours and avoided a lot of “why is this query so slow?” moments. That’s honestly my favorite Devart tool, but it’s not the only one worth mentioning. 1. The 𝐝𝐛𝐅𝐨𝐫𝐠𝐞 suite makes database work a lot easier (query building, schema compare, debugging). 2. Their 𝐎𝐃𝐁𝐂 𝐝𝐫𝐢𝐯𝐞𝐫𝐬 connect just about anything to anything - I’ve used them in BI/reporting scenarios where performance mattered. 3. And 𝐝𝐨𝐭𝐂𝐨𝐧𝐧𝐞𝐜𝐭 has been super handy in projects where I needed reliable PostgreSQL and SQLite integrations. Devart has been around for 28 years (pretty rare in our industry), and they’ve built tools that quietly save devs like us a ton of time. Since they’re celebrating their anniversary right now, they’re offering 20% off any product until August 31! Use code: 𝗗𝗘𝗩𝗔𝗥𝗧_𝟮𝟴_𝗦𝗣𝗜𝗖𝗘 Check it right now: https://lnkd.in/dZcuMh5T What about you - have you ever hit a nasty ORM or database performance issue that drove you crazy?

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The Angular team is now working on a new Signal primitive called Deep Signal, that lets you reactively access and update nested properties within Signals. 🎯 This means managing nested state in Angular will become much simpler, cleaner, and more performant, without the need for complicated workarounds. In my latest article, I explore what Deep Signals are, how they work, and why they will improve our Angular codebases. If you want to stay ahead and get ready for this upcoming feature, don’t miss it! 👉 Read more here: https://lnkd.in/eWsTq4uy #Angular #WebDevelopment #Frontend #Signals #StateManagement #DeepSignal #AngularSignals #TechInnovation #Programming

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𝐃𝐞𝐞𝐩 𝐃𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 𝐉𝐏𝐀 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 ⚡Understanding the architecture behind Spring Boot JPA is key to mastering it. Let's break down the core components that make it all work. 📌𝐄𝐧𝐭𝐢𝐭𝐲𝐌𝐚𝐧𝐚𝐠𝐞𝐫: This is your primary tool for interacting with the database. It manages the lifecycle of your entities and handles persistence operations. 📌𝐄𝐧𝐭𝐢𝐭𝐲𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐅𝐚𝐜𝐭𝐨𝐫𝐲: It's responsible for creating and managing EntityManager instances. 📌𝐄𝐧𝐭𝐢𝐭𝐲𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧: This component handles transactions, ensuring your database operations are executed reliably. 📌𝐐𝐮𝐞𝐫𝐲: The interface for running queries against the database, whether using JPQL or native SQL. 📌𝐄𝐧𝐭𝐢𝐭𝐲: The plain old Java object (POJO) that's mapped directly to a database table. 💡This architecture standardizes persistence operations and seamlessly maps Java objects to database tables, which is the core of JPA. #SpringFramework #JPA #Database #Architecture #Coding #SpringBoot #Java #SoftwareEngineering #TechTips #Programming #Developer #BackendDevelopment #Hibernate #Database

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Angular vs React with .NET — Which should you choose? When working with a .NET backend, both Angular and React are excellent frontend choices. But the “better” one depends on your project goals: Angular + .NET Complete framework (routing, forms, DI included) Structured & opinionated → ideal for enterprise apps (ERP, HRMS, WMS) Strong TypeScript integration (familiar for C# developers) React + .NET Lightweight & flexible (choose your own libraries) Huge ecosystem & active developer community Best for SPAs, dashboards, and modern micro-frontends Rule of Thumb: For strict, long-term enterprise systems → choose Angular For flexible, fast-moving apps → choose React I’ve noticed most modern .NET apps lean towards React, but Angular still dominates in large enterprise projects. What’s your choice when pairing with .NET — Angular or React? Follow Sai Reddy for more such tech insights! Reach out to me to attend mock interviews that will help you prepare and crack your next interview with confidence.  https://lnkd.in/gsrnePyD or https://lnkd.in/gmQQGgns  or https://lnkd.in/g3xnx-vh or https://lnkd.in/gswwEDZh or https://lnkd.in/gy6SDTDS or https://lnkd.in/gUjdagq7 or https://lnkd.in/gagfpvDj OR https://lnkd.in/gjm7naaH https://lnkd.in/gbR-MrVy #DotNet #Angular #React #WebDevelopment #FullStack #SoftwareEngineering

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I Tested Kombai vs Claude Sonnet 4.5 for Frontend: One Was 3.5× Faster!🔥 Claude Sonnet 4.5 is here, and it's one of the best agentic coding models out there. Claude models are already a top choice in many AI coding tools and IDEs. I tested it on a few tools for some coding tasks in both Python and Ts/Js. It did really well. But there’s still one big issue with most of these models, building frontends and writing good, clean frontend code. I wanted to test Claude Sonnet 4.5 on real frontend tasks, but I also needed another agentic model to compare it with. That’s why I picked Kombai, it’s a tool made mainly for frontend tasks. Why Kombai vs Sonnet 4.5 instead of other coding models? Because I wanted to compare Sonnet 4.5 with another agentic tool, not just a general-purpose coding model. ✅ Test Environment Tools Tested: → Claude Sonnet 4.5 via GitHub Copilot in VS Code → Kombai VS Code extension Setup Details: → IDE: Visual Studio Code → Tech Stack: Next.js 15, TypeScript, shadcn/ui, Recharts, Tailwind CSS ✅ Evaluation Criteria I focused on what actually matters for production-ready code: → Maintainability: Is the code easy to understand, update, and improve over time? → Extensibility: Can you add new features without breaking existing ones? → Code Quality: Is the code clean, organized, and reliable? → Development Speed: How fast can it produce working, error-free code? → Production Readiness: Is the output stable, scalable, and up to frontend standards? 👉 Test 1: Generate full codebase from scratch 👉 Test 2: Debugging, Folder structure and Files specific code optimization 👉 Test 3: Adding additional features to the same app ✅ What I Found? Claude Sonnet 4.5 was 3.5x slower than the other agent tool. It can also leads to higher costs due to longer iteration times and usage-based billing. ✅ My Take? Claude Sonnet 4.5 is amazing for many coding tasks, but it still falls behind when it comes to frontend development. For now, we still need to rely on specialized agents like one I used for testing, instead of just raw models in our IDEs. #AI I wrote the full detailed guide on my blog - https://lnkd.in/grVKyNbi

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