Here is short info about post: Linux has evolved far beyond its early role as a simple Unix-like operating system. Modern Linux system design integrates advanced kernel mechanisms, hardware-aware scheduling, security-by-design principles, and highly efficient memory management strategies. These improvements are not isolated enhancements; rather, they form a cohesive architecture that allows Linux to scale from embedded devices to supercomputers while maintaining reliability, performance, and security. This article explores new and modern Linux system design features that significantly enhance performance, security, memory management, and hardware interaction, ... New Linux System Design Features That Improve Performance, Security, Memory Management, and Hardware Interaction

Here is short info about post: Artificial intelligence has rapidly transformed software development. From autocomplete to full-scale code generation, developers now rely on AI systems to produce large portions of application logic. While this acceleration brings enormous productivity gains, it also introduces a subtle and dangerous new class of vulnerability: phantom APIs. Phantom APIs are nonexistent, misrepresented, or hallucinated interfaces that appear legitimate in AI-generated code but do not actually exist, are incorrectly implemented, or behave differently than assumed. These phantom constructs can silently undermine application ... How Phantom APIs Are Formed and How to Detect Them in Your AI-Generated Code Before Attackers Do

Here is short info about post: Kubernetes has become one of the most influential platforms in modern software engineering. It promises scalability, resilience, automation, and portability—all appealing qualities in today’s cloud-native world. However, Kubernetes is not a universal solution. While it excels in certain scenarios, it can also introduce significant operational complexity when used unnecessarily. This article explores how to distinguish when Kubernetes genuinely solves real problems and when it becomes an overengineered burden. By examining practical scenarios, architectural trade-offs, and coding examples, you will gain ... Learn to Distinguish When Kubernetes Truly Solves Your Problems and When It Adds Unnecessary Complexity

Here is short info about post: Software development has traditionally relied on a fragmented ecosystem of tools: IDEs for coding, ticketing systems for tasks, documentation platforms for knowledge sharing, and messaging tools for communication. Over time, this fragmentation has created friction—context switching, duplicated effort, delayed feedback, and lost knowledge. In response, the industry has begun shifting toward chat-based software development, where collaboration, automation, and coding converge directly inside conversational interfaces. The integration between Claude Code, an AI coding assistant, and Slack, one of the most widely ... How Integration Between Claude Code and Slack Drives Progress in Chat-Based Software Development

Here is short info about post: The modern data landscape is defined by explosive growth in data volume, diversity, and velocity. Organizations no longer rely on a single analytics engine or storage system; instead, they operate across multiple query engines, machine learning frameworks, and real-time analytics platforms. To support this complexity, the concept of the data lakehouse has emerged—combining the flexibility of data lakes with the reliability and performance of data warehouses. At the heart of this modern lakehouse architecture are two critical technologies: Apache Iceberg, ... How Iceberg and AIStor Power the Modern Multi-Engine Data Lakehouse

Here is short info about post: In traditional web application development, managing data efficiently has always been a core challenge. Before the widespread adoption of modern frameworks and ORM-based systems, developers relied heavily on technologies such as ASP (Active Server Pages) combined with XML and XSL to store, process, and display structured data. Even today, understanding this approach is valuable because it teaches fundamental concepts about data separation, presentation logic, and server-side processing. ASP, particularly Classic ASP, provides a powerful server-side scripting environment that can interact ... How To Store And Display Data Using ASP and XML/XSL

Here is short info about post: Modern software systems are rarely simple. Applications today are expected to handle millions of users, scale dynamically, remain highly available, and expose secure APIs to multiple clients. Two critical infrastructure components make this possible: Load Balancers and API Gateways. Although they are often mentioned together, they solve different problems at different layers of the system. This article provides a clear, practical, and deeply technical breakdown of how load balancers and API gateways work, how they differ, and how they are ... A Clear And Practical Breakdown Of How Load Balancers And API Gateways Work

Here is short info about post: Artificial General Intelligence (AGI) has traditionally been imagined as a single, unified, monolithic system—one model, one reasoning core, one dominant objective function capable of matching or exceeding human cognitive breadth. While this vision has driven decades of research, it is increasingly clear that such monolithic AGI architectures face fundamental limitations in scalability, robustness, alignment, adaptability, and governance. As we move toward what can be described as Post-AGI Architecture, a new paradigm emerges: Augmented Collective Intelligence (ACI). Post-AGI architecture does not ... Post Artificial General Intelligence Architecture

Here is short info about post: Processing a million+ recording files (audio, video, binary blobs, or JSON/XML records extracted from recordings) is not just “more work” — it is a completely different class of engineering problem. When you try to treat the dataset like a single in-memory collection, you quickly hit physical memory limits, GC pressure, and unpredictable latency. Systems that load all file contents or build a huge in-memory array of metadata or messages will run out of heap, stall, or crash. Streaming is the ... Why Streaming Is The Correct Approach For Processing Over A Million Recording Files Without OutOfMemory Errors

Here is short info about post: Testing RESTful APIs is a critical part of modern backend and integration testing strategies. Among all HTTP methods, POST requests often require the most careful validation because they involve sending structured payloads to create or process resources on the server. In Java-based test automation, REST Assured has emerged as one of the most popular libraries for API testing due to its expressive syntax and tight integration with testing frameworks such as JUnit and TestNG. However, writing effective POST API tests ... Testing a POST API in Java Using JSON Files, Builder Pattern, Datafaker, and REST Assured

Here is short info about post: Containerization has become a foundational practice in modern software development. By packaging applications together with their dependencies, containers ensure consistency across development, testing, and production environments. For .NET developers, Docker provides a powerful and flexible way to deploy web applications efficiently. This article provides a deep, end‑to‑end guide on how to containerize a .NET 10 web application using Docker. We will explore Docker fundamentals, multi‑stage builds for optimized images, Docker Init for fast scaffolding, and Docker Compose for managing multi‑container ... How To Containerize .NET 10 Web Applications With Docker

Here is short info about post: Distributed SQL has rapidly become a foundational technology in contemporary data ecosystems, enabling organizations to achieve horizontal scalability, global availability, strong consistency, and real-time analytical insights—all within a familiar SQL interface. As data infrastructure evolves toward cloud-native and serverless paradigms, distributed SQL systems now power mission-critical applications requiring fault tolerance, workload elasticity, and low-latency access across regions. This article explores key concepts behind Distributed SQL—including consensus, partitioning, serverless scaling, vector indexing, and production best practices—while providing coding examples along the ... Distributed SQL in Modern Data Ecosystems