How to design an IDP that scales with your team at #KubeCon

✍ SOLID Principles Explained 🔹 S – Single Responsibility Principle ▪️ Each class/module should have only one reason to change. ▪️ Keeps code simple, easy to maintain. 🔹 O – Open/Closed Principle ▪️ Software entities should be open for extension but closed for modification without changing existing code, reducing risk. 🔹 L – Liskov Substitution Principle ▪️ Objects of a superclass should be replaceable with objects of its subclasses without affecting the system. ▪️ Promotes seamless polymorphism. 🔹 I – Interface Segregation Principle ▪️ Instead of one large interface, create smaller, specific interfaces. ▪️ Avoids unnecessary dependencies, reduces complexity. 🔹 D – Dependency Inversion Principle ▪️ Depend on abstractions, not on concrete implementations. ▪️ Promotes flexibility, easier, and cleaner architecture. 💡 A guide to building robust, maintainable, and scalable software systems. 👨💻 Follow Bitfront Infotech #SoftwareEngineering #CleanCode #SOLIDPrinciples #CodingBestPractices #SoftwareDesign #OOP #DeveloperTips #BackendDevelopment #SoftwareArchitecture #CodeQuality #ProgrammingMindset #Bitfront #DevCommunity #SystemDesign

Why API Versioning Matters in .NET When your application evolves, your APIs must evolve too. But here’s the challenge How do you release new features without breaking old clients? The solution: API Versioning With just a few lines of configuration in ASP.NET Core, you can: Maintain backward compatibility Release new features safely Keep your API clean & scalable At Orbilon Technologies, we focus on building future-proof APIs that adapt as your product grows. Do you usually maintain multiple API versions in your projects, or stick with a single evolving version? . . . . . #DotNet #MinimalAPI #APIVersioning #BackendDevelopment #SoftwareEngineering #Coding #Developers #ScalableSystems #TechInnovation #WebAPI

Presenting with your boss isn’t harder: It’s different. For TechXchange, I co-created a session on Quarkus, LangChain4j, and modern developer experience. The process taught me more than just slides and demos: - How to align on story before slides - Why abstraction is an essential senior skill - How to adopt a consulting mindset on stage I turned these lessons into a piece for The Main Thread: 👉 https://lnkd.in/dV3JNqJe #Java #Quarkus #LangChain4j #PublicSpeaking #CareerGrowth

Why should you upgrade to DeepSeek V3.1-Terminus? 🤔 The numbers don't lie. Latest benchmarks show that V3.1-Terminus is a game-changer for devs. 🦾 Improved function calling capabilities in non-reasoning mode, making it a beast for coding agents. 🚀 Enhanced performance in coding tasks, perfect for agentic frameworks. https://lnkd.in/gYwg556z

🚀 Weekly Progress Update – ViiChat API 🚀 It’s been a productive sprint so I was busy last few days, and here’s the latest on the ViiChat backend development journey. 💡 This Week’s Highlights: Over the last 3 days, I’ve enhanced the User Management API with several new endpoints, improved security, and cleaner input and response handling. 🔹 New & Improved Features: 1. Standard API Response Structure → Consistent and clear responses across all endpoints. 2. Get All Users Endpoint → Retrieve a complete list of users. 3. Minimal & Editable User Info Endpoints → For profile viewing and editing. 4. User Role & Status Update Endpoints → Admin control over user roles and statuses. 5. Update User Password Endpoint → Secure password updates. 6. Profile Picture Management → Upload and update user profile pictures. 7. Improved Null Handling → Robust input validation to prevent errors. 8. Custom Input Validation for Parameters → Cleaner, safer request handling. 🔹 Key Achievements: 1. Strengthened API structure and security. 2. Implemented reusable, clean validation logic. 3. Improved developer experience with consistent responses and better error handling. 📈 This week’s work brings ViiChat closer to a scalable, secure, and maintainable platform. Stay tuned for further updates 😉 #DotNet #CSharp #APIdevelopment #BackendDevelopment #CleanCode #Security #UserManagement #ViiChat #DevProgress

Gaining clarity on accessing Rithmic's API is important for many developers. It appears direct access through their trial program may not include comprehensive documentation. Access to the API documentation and code samples might be restricted based on their terms of service. Sharing code or snippets might not be possible depending on the agreement. Information regarding the API is closely protected, limiting what can be shared beyond general insights. #API #Rithmic #Documentation #Coding #Development #TermsOfService

🔵 𝐓𝐡𝐞 𝐑𝐞𝐬𝐮𝐥𝐭 𝐏𝐚𝐭𝐭𝐞𝐫𝐧: 𝐀 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐖𝐚𝐲 𝐭𝐨 𝐇𝐚𝐧𝐝𝐥𝐞 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬 Nested try-catch blocks, unreadable logs, no status code return and unclear return paths make debugging a painful experience. But what if there was a simpler, cleaner, and more predictable way to deal with failures? The Result Pattern offers just that. Instead of relying on exceptions for flow control, it embraces explicit success and failure outcomes, making your code easier to read, test, and maintain. 💬 𝐌𝐲 𝐭𝐚𝐤𝐞? Since I adopted the Result Pattern in APIs and services, I’ve seen better maintainability, clearer contracts, and more confidence in error handling. It’s not just functional programming hype: it works. What about you? Have you implemented the Result Pattern in your codebase? ❤️ Like if this was helpful 💬 Drop your thoughts below 🔄 Share with someone tired of chaos #dotnet #csharp #webapi #cleancode #resultpattern #errorhandling #programming #developerlife #softwarearchitecture #backend #restapi #minimalapi #aspnetcore #cleanarchitecture

Stop creating a use case for everything. 🛑 Your codebase doesn't need GetUserUseCase, DeleteUserUseCase, and ValidateTokenUseCase. Here's what I learned from senior developers: ✅ Keep interfaces simple, let classes have depth ✅ Use domain names (UserRepository), not pattern names (GetUserUseCase) ✅ Extract logic ≠ create a use case ✅ Use cases are for USER goals, not technical operations The user doesn't care about tokens, parsing, or caching. Those are implementation details. A real use case? "Complete checkout" - coordinates payment, creates order, sends confirmation. Not a use case? "Get token" - that's just a repository method. When you over-engineer: → Debugging becomes a nightmare → You jump through 5 files for simple operations → Code becomes fragile and hard to maintain Architecture patterns are tools, not commandments. Apply them where they manage complexity, not everywhere uniformly. What's your take? Where do you draw the line? 💭 #SoftwareArchitecture #CleanCode #AndroidDev #SoftwareEngineering #DDD

#CodeTrip - Refining our domain model. Hello everyone 👋 I'm refining the domain model for the GoProcure system as part of the #CodeTrip journey — and this time, it’s about getting the Vendor ↔ Item relationship exactly right. Initially, I modeled this as a One-to-Many Aggregation, where each Vendor “owned” its Items. But after deeper analysis, I realized that doesn’t reflect how real procurement works. In a real enterprise procurement system, Items belong to the organization’s catalog, not to a specific vendor. Multiple Vendors can supply the same Item (at different prices or lead times). The Vendor assignment only happens during a Purchase Request or Purchase Order, not when the item is created. So, we’ve revised the design — and this is the final, production-ready version as attached here. And it means: Vendor and Item exist independently (Association). VendorItem acts as the linking entity that carries relationship details like price, availability, and delivery time. Deleting a Vendor removes its VendorItems (Composition), but not the Items themselves. In short: Vendor and Item are associated aggregates, linked through VendorItem. Why This Matters: This design perfectly captures real-world business logic while preserving data integrity: 1. Vendors and Items are cleanly separated aggregates (Association). 2. VendorItem enforces a strong link with lifecycle control (Composition). 3. It supports multiple Vendors per Item and multiple Items per Vendor (Many-to-Many). 4. Clean deletion rules prevent cascading data loss. Follow Along I’ll publish a detailed breakdown the implementation in both .net and java on my website and share the link in the comment section. 🔗 https://lnkd.in/dj7rg-fy #CodeTrip #GoProcure #DDD #SoftwareDesign #CleanArchitecture #Java #DotNet #EntityFramework #JPA #SoftwareEngineering #BuildInPublic #TechAndCodingWithOla #ProcurementSystem

This made my day! A large organization that's adopting @tuistdev got their PR turaround time from 30m to 9m and impressive efficiency numbers in test selection and binary caching. In a world of agentic coding, you don't want CI to be your bottleneck https://lnkd.in/djkdKSWz