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HTTP QUERY Method (RFC 10008): Everything Developers Need to Know in 2026

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What Is the HTTP QUERY Method? The HTTP QUERY method, standardized in RFC 10008, is the newest addition to the HTTP protocol. It introduces a standard way to perform safe and idempotent read operations while allowing clients to send a request body. For years, developers had to choose between: GET – Safe and cacheable, but limited by URL length and query parameters. POST – Supports request bodies but is intended for operations that may change server state. The new QUERY method solves this long-standing problem by combining the semantics of a read-only operation with the flexibility of a request body. Why Was HTTP QUERY Introduced? Modern applications often require complex searches, advanced filtering, reporting, and analytics. Encoding large JSON filters into URLs is impractical, while using POST for read-only operations is semantically inaccurate. The QUERY method provides a cleaner, standards-based solution. Common Use Cases Advanced product search Complex filtering Analytics dash...

Microservices vs Monolith: Which Architecture Should You Choose?

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When designing a software system, one of the first architectural decisions is whether to build a monolith or adopt microservices . Despite the popularity of microservices, they are not always the best choice. A monolithic architecture keeps the application in a single codebase and deployment unit. It is easier to develop, test, deploy, and maintain, making it ideal for startups, MVPs, and small engineering teams. It also has lower infrastructure costs and fewer operational challenges. A microservices architecture divides an application into independent services that can be developed, deployed, and scaled separately. This approach works well for large applications with multiple teams, high traffic, and complex business domains. However, it introduces additional challenges such as service communication, distributed transactions, monitoring, logging, and infrastructure management. The most important principle is to choose the architecture that matches your current requirements , not th...

Neuro-Symbolic AI: The “Holy Grail” of Artificial Intelligence

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Artificial Intelligence (AI) has come a long way, from rule-based systems to deep learning models capable of impressive feats in vision, speech, and language. Yet, achieving truly human-like intelligence remains a challenge. This is where Neuro-Symbolic AI comes in — often called the “Holy Grail” of AI . What is Neuro-Symbolic AI? Neuro-Symbolic AI combines two traditionally separate approaches: Neural Networks (Sub-symbolic AI) Excellent at pattern recognition and learning from large datasets. Examples include image recognition, natural language processing, and speech-to-text systems. Limitation: Struggles with logical reasoning , explainability, and applying learned knowledge to new situations. Symbolic AI (Rule-Based AI) Uses formal logic, rules, and knowledge representation to reason explicitly. Great for planning, deduction, and solving structured problems. Limitation: Can be rigid and hard to scale with noisy real-world data. Neuro-Symbolic AI merges these worlds , allowing n...

Top Software & AI News: GPT-5.1, Visual Studio 2026, Google Gemini 3.0 & More

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The world of software development and artificial intelligence is evolving faster than ever. From cutting-edge AI models to the latest developer tools and OS updates, staying informed is essential for developers, tech enthusiasts, and businesses alike. Here’s a complete roundup of the top software and AI updates this week. 🔥 OpenAI GPT-5.1 – The Next Leap in AI OpenAI recently launched GPT-5.1 , the newest version of their powerful AI language model. The update introduces two variants: ⚡ GPT-5.1 Instant – optimized for fast responses 🤔 GPT-5.1 Thinking – designed for complex reasoning and deeper analysis This release marks a major milestone in AI technology and developer productivity , enabling smarter applications and more efficient coding workflows. 🌐 Google Gemini 3.0 – AI Everywhere Google CEO Sundar Pichai has teased Gemini 3.0 , the next-generation AI model. This update is expected to integrate seamlessly with Google Search , Android , and Google Maps , bringi...

Building Robust Software: Core Principles Every Developer Should Follow

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Creating high-quality software isn’t just about solving today’s problem—it’s about building systems that are maintainable, scalable, and resilient . Over the years, the software engineering community has embraced several guiding principles that help developers produce reliable and sustainable code. This article explores the core principles that every developer should know and apply. 1. SOLID Design Principles The SOLID principles form the foundation of object-oriented programming: S – Single Responsibility: Every class or module should have a single, clear purpose. O – Open/Closed: Entities should be open for extension but closed for modification. L – Liskov Substitution: Subtypes should be usable in place of their base types. I – Interface Segregation: Keep interfaces focused and minimal. D – Dependency Inversion: Depend on abstractions, not concrete implementations. Implementing SOLID ensures your code is flexible, extensible, and easier to maintain . 2. DRY (Do...