Here is short info about post: Smart calendar assistants have become essential tools for organizing personal and professional tasks. But while most of them rely on touch or text input, adding voice commands can make the experience more intuitive, hands-free, and user-friendly. In this article, we’ll walk through how to build a voice-controlled calendar assistant that captures voice input, interprets it using Natural Language Processing (NLP), and automatically converts it into calendar events. We’ll use the Web Speech API for speech recognition and combine it with ... How To Add Voice Commands To Your Smart Calendar Assistant: Converting Speech To Events Using The Web Speech API And NLP Pipeline

Here is short info about post: In modern software development, context is everything—especially when working with AI-driven coding assistants like Amazon Q CLI, which leverages generative AI to assist developers from the command line. To improve the quality, accuracy, and relevance of AI interactions, Model Context Protocol (MCP) servers act as a powerful middleware layer, enriching requests with historical, application-specific, and user-defined context. In this article, we’ll explore how MCP servers function, why they’re essential for improving Amazon Q CLI performance, and how to implement one ... How MCP Servers Can Help Provide Better Context with Amazon Q CLI

Here is short info about post: Modern observability demands not only the collection of metrics and logs but also proactive alerting mechanisms. When working with Grafana Loki for log aggregation in Kubernetes, combining it with PrometheusRule alerting provides real-time notifications based on log patterns. With Grafana Alloy (previously known as Agent), we gain a unified agent that enables scraping, alerting, and forwarding logs. In this article, we’ll explore how to configure PrometheusRule alerts based on Loki logs in Kubernetes using Grafana Alloy and Helm. Overview Of ... How To Enable PrometheusRule Alerts For Loki Logs In Kubernetes With Grafana Alloy And Helm

Here is short info about post: Artificial Intelligence (AI) and Machine Learning (ML) thrive on large volumes of high-quality data. However, most organizations face three major challenges when scaling AI: fragmented data infrastructure, poor governance, and spiraling costs. As AI adoption grows, building a unified, AI-ready data infrastructure that ensures seamless access, robust governance, and cost efficiency becomes not just a best practice—but a business imperative. This article walks you through the key architectural components, governance strategies, and tools you can use to build an AI-ready ... How To Build Unified, AI-Ready Infrastructure With Seamless Data Access, Strong Governance, And Cost Efficiency

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