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The Operating System of the Future Will Be AI-First — Here’s Why

The current operating systems are based on outdated paradigms from the early 2000s with static menus, file folders, icons, and manual inputs.
Despite the integration of AI features like Copilot in Windows or Spotlight in macOS, the fundamental architecture of operating systems remains unchanged.
The future of operating systems is envisioned to be AI-first, where AI becomes the core of the OS rather than just an added feature.
An AI-first operating system would feature a conversational interface, self-organizing files, AI-mediated app collaborations, and dynamically generated workflows.

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Hackernoon

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React Hooks Are Powerful—But Here’s What They Won’t Fix

React Hooks have revolutionized React by simplifying state management, effects, and logic in functional components.
However, Hooks cannot fix issues related to bad design choices, unclear component logic, or rushed development decisions.
They excel at managing state, running side effects, reusing logic, working with refs, optimizing renders, and subscribing to context.
Hooks do not inherently resolve confusion in component logic or poor separation of concerns within React applications.
Improper usage of Hooks can lead to complex and unmaintainable code, especially when business logic, side effects, and rendering are mixed.
Proper refactoring and abstraction are essential for improving the maintainability and clarity of React components using Hooks.
Hooks also cannot fix issues related to poor naming conventions, state mismanagement, unnecessary rerenders, or lack of testing and debugging.
While Hooks provide powerful tools for React development, developers need to use them judiciously and consider overall code structure.
Simplicity in React applications does not solely come from utilizing Hooks but relies on how effectively they are integrated and structured.
Understanding the limitations and best practices around Hooks is crucial for building maintainable, performant React applications.
Hooks offer improved syntax, cleaner APIs, and ease of composition, but developers must focus on code organization and logic clarity for successful implementation.

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Dev

108

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Part 8: Common Utility Tools (Part 2)

Proper encapsulation and reuse of utility classes are crucial in HarmonyOS app development for improving efficiency and code robustness.
Commonly used utility tools in projects include permission management, logging, window and screen management, system API encapsulation, date formatting, and audio processing.
Recommendations include using @kit.AbilityKit for permission management, @ohos.hilog for logging, and WindowUtil for window and screen management in HarmonyOS.
Utility classes should follow single responsibility principle, have simple interfaces, and developers should refer to Official Documentation and ArkTS Coding Style Guide for best practices.

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Dev

254

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Why Its Important to Ask Questions When You're Learning C++..

Learning C++ can be challenging and frustrating, but asking questions can save time and help in understanding concepts better.
Asking specific and detailed questions can lead to more helpful responses and solutions from peers or online communities.
Providing context, explaining goals, sharing code snippets, and mentioning compiler details can enhance the effectiveness of seeking help in learning C++.
Effective communication and clarity in asking questions play a crucial role in overcoming obstacles and enhancing the learning experience in C++ programming.

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Analyticsindiamag

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Coders Are Having Fun Again, and It’s AI’s Fault

In the past, programmers lost joy due to complexity in tooling, documentation, and tedious tasks, but now AI tools are bringing back the fun by handling repetitive tasks.
Despite challenges with AI-generated code, developers are embracing AI-powered programming for efficient workflows.
Programmers faced frustration with debugging, boilerplate code, and poor documentation, shifting the focus from the excitement of problem-solving to mundane tasks.
AI tools simplify coding tasks, allowing programmers to concentrate on creative and challenging aspects of development.
Developers like Biswajeet Parija and Namanyay Goel share experiences of AI streamlining processes and reducing time spent on repetitive tasks.
AI aids in prototyping, debugging, and guiding users through software development, making it more accessible and enjoyable.
AI enhances programming by offering clarity in learning, faster prototyping, and efficient problem-solving, restoring the core joys of coding.
The evolution of programming tools and AI doesn't threaten programmers but rather enhances their capabilities and creativity.
The future of programming might involve a symbiotic partnership between humans and AI, enhancing the overall coding experience.
AI hasn't diminished the magic of coding but has amplified it, making programming more enjoyable, accessible, and immediate.

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Dev

290

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Is This a Refreshing Way to Understand Association?

Association in SQL involves Cartesian product and filtering, similar to Python.
EsProc SPL defines association differently, involving foreign key and primary key association.
SPL's foreign key association is about associating regular fields with primary keys of another table.
SPL treats foreign keys as objects, enabling direct access to related table fields.
Primary key association in SPL involves matching record objects, making it more intuitive.
SPL offers a more natural and error-resistant approach compared to SQL and Python.
SQL requires explicit specification and recalculations for each association.
Python's association results can be cumbersome due to wide tables.
SPL's approach to association is more flexible and suitable for complex computations.
SQL and Python are prone to errors in many-to-many association scenarios, unlike SPL.

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Nordicapis

Exploring OpenAPI Overlay Through Open Banking

OpenAPI Overlay Specification helps manage merges and changes in OpenAPI descriptions through prescribed operations.
The UK Open Banking Standards demonstrate how Overlay can be applied to edit API descriptions within an industry framework.
Permitted changes under UK Open Banking Standards include removing API operations, defining recommended values as enumerations, and adding supplementary data.
The Bank of M&D example showcases the use of Overlay to tailor open banking APIs to specific needs, like removing unsupported API operations.
Actions in Overlay, such as updating enum values and adding properties like StructuredDebtorReference, can be applied to enhance API descriptions.
Overlay streamlines the process of editing API descriptions in line with regulations like PSD2 to improve developer experience and compliance.
The ability of Overlay to automate changes based on defined policies enhances the efficiency of managing and updating API descriptions.
Overlay's application extends beyond open banking to other industry standards like healthcare, enabling a systematic approach to API description refinement.
Future enhancements to Overlay could involve automated operations for tasks like removing orphaned objects in API descriptions.
To contribute to shaping the future of Overlay, interested parties can participate in discussions and contribute to the Overlay Specification repository.

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Medium

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10 Ways to Get Promoted Without Sucking Up!

Strategic, ethical, and effective ways to get noticed and promoted without compromising integrity.
1. Be exceptional at your work to stand out and signal readiness for more responsibility.
2. Focus on mastering your craft and becoming highly competent in your role.
3. Aim to anticipate problems, handle challenges, and demonstrate expertise.

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Medium

268

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Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Skill Badge- Google Cloud…

Celebrating the successful completion of the Google Gen AI Skill Badge journey
Mastered Vertex AI Jupyter Notebooks and Multimodal RAG systems
Acknowledging support from TechXNinjas Founder Aadil Latif, MD SOHRAB, Ayan Memon, Lavish Sheth, and industry leaders in the AI and Cloud space
Excited to apply expertise in AI-driven projects and contribute to the future of AI innovation

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Dev

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5 Developer Tasks I Completely Offload to AI Now

Frontend developers are increasingly relying on AI to offload tasks like researching concepts, generating complex utility functions, comparing libraries or tools, writing boilerplate code, and summarizing or writing documentation.
AI tools like ChatGPT help developers conduct research faster by providing quick and summarized answers to questions about libraries, API behaviors, and coding patterns.
Developers now use AI to generate tedious utility functions, compare different tools or libraries, set up boilerplate code or config files, and even assist in summarizing or writing documentation for projects.
By delegating repetitive and time-consuming tasks to AI, developers can focus more on core logic, clean architecture, user experience, and problem-solving, improving overall productivity and efficiency in their workflow.

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Dev

390

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🏗️ Building Playwright Framework Step By Step - Setup Design Pattern

Design patterns are crucial in test automation for structured and reusable UI interaction.
They offer benefits like enhanced maintainability, improved readability, reduced code duplication, better structure, and increased robustness.
Page Object Model (POM) and Functional Helpers are key design patterns for test automation frameworks.
POM organizes UI elements by pages/components for clear organization and high reusability.
Functional Helpers use functions for common tasks and are more flexible.
Choosing between POM and Functional Helpers depends on factors like project scale, team experience, UI complexity, and long-term maintenance.
For the article series, POM was chosen for better scalability and popularity.
Implementing POM involves creating a logical folder structure and page object files for different pages.
Page object classes encapsulate UI elements and actions for specific pages, enhancing maintainability.
The article provides a detailed example of implementing page object classes for the Article Page.

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Dev

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Smarter JavaScript in 2025: 10 TypeScript Features You Can’t Ignore

TypeScript in 2025 provides structure, clarity, and safety to modern JavaScript development with advanced features.
Type Inference reduces boilerplate, keeps code clean, and accelerates development without sacrificing type safety.
Template Literal Types, Discriminated Unions, and Variadic Tuple Types are among the powerful TypeScript features highlighted.
TypeScript advancements like Type Guards, Custom Utility Types, and Type-Safe Routing in frameworks like Next.js contribute to building maintainable and scalable applications.

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Javacodegeeks

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Spring Security + OAuth2 Resource Server: How to Validate JWTs Like a Pro

OAuth2 and JWT have become the standard for securing APIs in modern applications.
Proper validation of JWTs is crucial for security and performance in Spring Security resource servers.
Configuration involves setting up JwtDecoder, introspecting tokens, and enforcing scopes for robust authorization.
Best practices include using JWTs when possible, careful scope mapping, and regular key rotation for secure APIs.

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Medium

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AI-Powered Diagnostic Tools — Revolutionizing Healthcare Services in Dubai

Dubai is investing in AI for healthcare to become a top-tier smart city with a focus on implementing AI-powered diagnostic solutions.
AI-powered tools in healthcare facilities like Smart Salem Medical Center in Dubai deliver medical tests in under 30 minutes, saving crucial time compared to traditional methods.
AI diagnostic tools analyze patient data like X-rays, CT scans, and lab reports to provide accurate insights within seconds, assisting doctors in diagnosis and treatment.
Tech firms like Theta Technolabs play a crucial role in developing digital infrastructure and platforms to support AI tools in healthcare for faster diagnostics, streamlined workflows, and improved patient care in Dubai.

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Dev

308

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Clean Architecture in .NET: Moving Beyond Generic Repositories and Leveraging IServiceScopeFactory

Architectural patterns like Clean Architecture, DDD, and CQRS are widely adopted but can lead to over-engineering with unnecessary abstractions like generic IRepository interfaces.
Clean Architecture separates software design into core layers: Entities, Use Cases, Interface Adapters, and Infrastructure, guided by the Dependency Rule for testability and maintainability.
Understanding when architectural patterns add value (complex business domains, shared understanding in large teams) versus when they become overhead (CRUD-centric apps, small teams) is crucial.
The Generic Repository anti-pattern, like IRepository, creates limitations such as semantic mismatch, abstraction leakage, and promoting anemic domain models.
Intent-Driven Repository Design offers better clarity, encapsulation, testability, and domain alignment by reflecting real business operations in interfaces.
IServiceScopeFactory in .NET addresses the challenge of service lifetimes by enabling safe resolution of scoped services in non-request contexts like background services.
Implementation recommendations include starting simple, focusing on intent-driven interfaces, respecting service lifetimes, iterative refinement, and aligning team capabilities with architectural choices.
Effective software architecture should balance structure with pragmatism, tailoring implementations to actual requirements and creating maintainable, testable, comprehensible code.
Understanding when patterns add value or introduce unnecessary complexity helps in making informed architectural decisions that serve both immediate needs and long-term maintainability.

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