Here is short info about post: As software developers increasingly rely on AI-assisted tools and cloud-based development platforms, attackers are rapidly adapting. Today’s threat landscape includes AI-powered phishing schemes specifically crafted to infiltrate developer environments, exfiltrate code, steal credentials, and even poison CI/CD pipelines. These new threats are intelligent, evasive, and targeted—and if you’re not vigilant, your development workflows may become the next entry point into a major supply chain attack. In this article, we’ll explore how AI-powered phishing can compromise software development workflows, examine real-world ... How AI-Powered Phishing Can Hijack Your Development Workflows—And How to Avoid It

Here is short info about post: Securing a single REST API is a good start—but in real-world enterprise environments, you’re likely dealing with multiple microservices, user roles, and external clients. The ideal way to manage all this is with an Identity Provider like Keycloak and an API Gateway such as Spring Cloud Gateway or Kong Gateway. In this article, we’ll go a step further and: Set up Keycloak for identity and access management Secure Spring Boot microservices using Keycloak + OAuth2 Use API Gateway to enforce ... Full Security Architecture: Spring Boot, Keycloak, and API Gateway Integration for Secure Microservices

Here is short info about post: Artificial Intelligence (AI) agents are revolutionizing the way we build software by introducing autonomy, goal-driven reasoning, and adaptable decision-making. Microsoft’s Model Context Protocol (MCP) is a new standard that simplifies how models interact with tools, APIs, memory, and user inputs. In this article, we’ll explore how to build AI agents using the MCP Server in C#, and how to run everything inside Visual Studio Code (VS Code), one of the most powerful, lightweight IDEs available. This guide will walk you ... How To Build AI Agents With MCP Server In C# And Run In VS Code

Here is short info about post: As the industry shifts towards power-efficient and performance-oriented Arm64 processors, enterprises and developers are increasingly moving their software workloads from x86 to Arm-based architectures such as Ampere CPUs. While Arm64 offers performance-per-watt advantages and reduced TCO (total cost of ownership), migrating legacy software written for x86 isn’t always trivial. Porting such code often involves identifying architecture-specific code, unsupported intrinsics, or dependency issues. To ease this migration journey, Ampere Computing introduced the Ampere Porting Advisor (APA) — a powerful static analysis ... Ampere Porting Advisor: Streamlining x86 to Arm64 Migration with Smart Issue Detection and Fix Suggestions

Here is short info about post: Next.js is a powerful full-stack React framework known for its performance, developer experience, and tight integration with Vercel. However, even robust frameworks like Next.js can harbor subtle but impactful vulnerabilities. One such flaw involves the silent bypass of middleware, potentially exposing sensitive routes that developers believe are protected. In this article, we’ll explore this vulnerability in detail, including how it arises, ways to reproduce and discover it, and most importantly, how to protect your application from unintentional exposure of protected ... Flaw in Next.js That Can Silently Bypass Middleware and Expose Protected Routes – How To Discover It and Protect Your App’s Most Sensitive Routes

Here is short info about post: Large Language Models (LLMs) are increasingly becoming intelligent data agents capable of understanding, querying, and interpreting structured data. However, one of the challenges remains safely and effectively integrating LLMs with private and production-grade databases. This is where the Model Context Protocol (MCP) plays a transformative role. A dedicated MCP server acts as a secure, controlled gateway between LLMs and data sources, enabling contextual inspection and natural language querying. In this article, we’ll explore how an MCP-enabled architecture allows LLMs to ... Turning SQL into Conversation and Natural Language Queries with MCP

Here is short info about post: In the modern world of digital transformation, organizations increasingly rely on APIs (Application Programming Interfaces) and data platforms to power applications, analytics, and integrations. While data governance, modeling, and quality controls are commonly emphasized, API standards are often introduced as an afterthought — leading to redundancy, inconsistency, and interoperability challenges. This article explores why API standards should be defined alongside data standards, not after them. Through real-world scenarios, coding examples, and architectural patterns, we make a compelling case for co-evolving ... Why API Standards Should Be Created Alongside Data Standards

Here is short info about post: Azure Cosmos DB is a globally distributed, multi-model NoSQL database that provides low-latency and high-throughput access to data. When developing applications in Go that interact with Cosmos DB using the Azure SDK for Go, it’s critical to validate how your application behaves under error conditions—such as throttling, timeouts, or network failures. In this article, you’ll learn how to simulate errors using custom transports and retry policies in Go, and how to test and improve your error-handling and retry logic using ... How To Simulate Azure Cosmos DB Errors In Go To Test Retry Logic And Error Handling Using Custom Transports And Policies

Here is short info about post: As organizations migrate to the cloud for agility, scalability, and cost-efficiency, they often overlook one critical factor: cloud security hygiene. Misconfigurations in cloud environments remain a leading cause of data breaches. Hackers aren’t breaking in—they’re logging in, thanks to overlooked settings, poorly managed access, and exposed services. This article dives into the most common cloud misconfigurations that attackers love and provides actionable fixes—with code examples for AWS, Azure, and GCP—so your infrastructure doesn’t become their next playground. Publicly Accessible Storage ... The Most Common Cloud Misconfigurations That Hackers Love and How to Fix Them

Here is short info about post: With the rise of AI-driven personal health assistants, building a voice-enabled AI nutrition coach has become an exciting and practical project. This kind of tool can help users make informed decisions about their dietary habits using natural conversation. In this tutorial, we’ll explore how to build such a coach using: OpenAI’s GPT model for generating nutritional advice. Gradio for creating a web-based voice interface. gTTS (Google Text-to-Speech) for converting AI-generated responses into speech. We’ll also include practical coding examples that ... How To Build A Voice-Enabled AI Nutrition Coach Using OpenAI, Gradio, And gTTS

Here is short info about post: As an experienced Database Administrator (DBA), one of your core responsibilities is to ensure database performance stays optimal even as data volume grows. Among many performance tuning tools available in SQL Server, Indexed Views (also called materialized views) are often underused due to misunderstanding or misuse. However, when applied correctly, they can be a game-changer in improving query performance, especially for complex aggregations and joins. This article provides a deep dive into Indexed Views in SQL Server — their internal ... Indexed Views in SQL Server: A DBA’s Perspective on Performance, Practicality, and Optimization

Here is short info about post: Decision Support Systems (DSS) have long been built on the premise that a human is the ultimate decision-maker. These systems collect, process, and present data in a way that aligns with human cognitive processes—visual dashboards, scenario simulations, what-if analyses, and interactive reports. However, in the era of AI agents, large language models, and autonomous systems, an important shift is emerging: what if the final consumer of the DSS is no longer human, but an AI agent? In this article, we’ll ... Rethinking DSS Systems: From Human Decision-Making to AI as the Final Consumer