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What’s New in AWS Certified Security Specialty SCS-C03 Exam in 2025-2026?

2025-11-25T04:13:27+00:00

The AWS Certified Security Specialty exam, last updated on July 11, 2023, is set to undergo another official update. The AWS Training and Certification team is releasing a new version, with an exam code of SCS-C03, available on December 02, 2025. You can register for the latest updated SCS-C03 Certified Security Specialty exam as early as November 18, 2025. Take note that the last day that you can take the soon-to-be decommissioned SCS-C02 exam is on December 01, 2025, so make sure that you verify your exam schedule. The New SCS-C03 Exam Domains The updated AWS Certified Security Specialty (SCS-C03) [...]

What’s New in AWS Certified Security Specialty SCS-C03 Exam in 2025-2026?2025-11-25T04:13:27+00:00

GitHub Spark

2025-11-17T18:22:16+00:00

GitHub Spark Cheat Sheet Spark lets developers describe an app in natural language, and Spark automatically generates a full-stack web app (frontend + backend). It’s integrated with GitHub (repos, authentication, deployment) and with Codespaces for editing. Targeted primarily at rapid prototyping of “micro-apps” (less setup, faster iteration), though not strictly limited. Overview of GitHub Spark Features Capability Description Natural-Language to App A developer types what they want, and Spark builds the frontend, backend, data store, authentication, and more.  One-click repository creation & sync  Spark can create a GitHub repository from the generated app, keep the code/UI in sync, and allow [...]

GitHub Spark2025-11-17T18:22:16+00:00

GitHub Copilot Coding Agent

2025-11-16T20:40:14+00:00

GitHub Copilot Coding Agent Cheat Sheet A Copilot coding agent is an AI-powered software development agent that runs on GitHub and works autonomously on tasks like implementing features, fixing bugs, updating dependencies, and then raising draft pull requests for review. It clones the repository into an isolated environment, analyzes the code, makes changes, runs tests or linters, and iterates based on feedback as part of a tracked “session.” Runs on GitHub, not inside the local IDE. Works on a selected repository and branch, and opens a Copilot branch and PR with its changes. Can be assigned tasks via: GitHub UI [...]

GitHub Copilot Coding Agent2025-11-16T20:40:14+00:00

GitHub Copilot Chat

2025-11-16T19:49:16+00:00

GitHub Copilot Chat Cheat Sheet GitHub Copilot Chat is an AI-powered chat interface built into GitHub’s ecosystem. It enables developers to ask questions in natural language and receive assistance with tasks such as code generation, explanations, debugging, refactoring, documentation, and testing. GitHub.com – Copilot Chat panel on pull requests, issues, and code view. IDEs Visual Studio Code Visual Studio JetBrains IDEs Xcode Eclipse GitHub Mobile – Ask questions about repos & code on iOS/Android. Command Line – GitHub Copilot CLI gives a chat-like experience in the terminal. Windows Terminal – Copilot integration to explain & generate shell commands. Always review [...]

GitHub Copilot Chat2025-11-16T19:49:16+00:00

GitHub Copilot Completions

2025-11-16T19:49:38+00:00

GitHub Copilot Completions Cheat Sheet GitHub Copilot's completions encompass key features, including Code Suggestions, Text Completion, and Code Referencing. Each section explains how these features work, their controls, best practices, and examples to help you maximize their utility. Code Suggestions Code Suggestions are the heart of GitHub Copilot. As you type in your Integrated Development Environment (IDE), Copilot offers intelligent code completions based on the context of your code, helping you write code faster and with fewer errors. How It Works Copilot analyzes the context of your code, including functions, variables, and libraries, to provide relevant code suggestions. You can [...]

GitHub Copilot Completions2025-11-16T19:49:38+00:00

Document Embeddings Explained: A Guide for Beginners

2025-12-08T05:12:54+00:00

Every day, billions of lines of text, emails, articles, and messages are created online. Making sense of all this unstructured data is one of the toughest challenges in modern AI. Document embedding is a fundamental concept that overcomes this problem. These are dense, numerical vectors that transform words, sentences, or entire documents into meaningful points in a high-dimensional space. These vectors capture the meaning and context of the original text. Because of this, machine learning models can measure similarity and perform tasks like topic classification, semantic search, and recommendation. What are Document Embeddings? Document embeddings convert text into numerical representations, [...]

Document Embeddings Explained: A Guide for Beginners2025-12-08T05:12:54+00:00

GitHub Copilot

2025-12-02T09:40:02+00:00

GitHub Copilot Cheat Sheet GitHub Copilot is an AI-powered code completion tool designed to help developers write code faster. It provides intelligent code suggestions based on the context of your code, comments, and files. It supports multiple programming languages and integrates with popular IDEs, including Visual Studio Code, JetBrains, and others. Generates code suggestions (from single lines to full functions) Context-aware (understands surrounding code and comments) Supports multiple languages (e.g., Python, JavaScript, Java, C++, etc.) Works within IDEs (VS Code, JetBrains, Visual Studio, etc.) Plans GitHub Copilot offers various pricing tiers, including free and paid options for individuals and businesses. [...]

GitHub Copilot2025-12-02T09:40:02+00:00

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server

2026-02-04T13:13:10+00:00

Let’s be honest, keeping up with AWS feels like chasing a moving target. One minute you’ve mastered EC2 and Lambda, and the next, there’s a new service, multiple updates, and several ways to configure the same feature. For developers and architects exploring AI integrations, that learning curve becomes even steeper. AWS offers massive amounts of documentation enough to fill a library but finding what you actually need, like the right API reference or regional availability, can feel like searching for a needle in a haystack made of JSON. Fortunately, the AWS Knowledge Model Context Protocol (MCP) Server changes the game. [...]

Mastering AWS Made Easy: A Beginner’s Guide to the Knowledge MCP Server2026-02-04T13:13:10+00:00

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)

2026-02-04T13:10:07+00:00

In today’s fast-growing world of artificial intelligence, Large Language Models (LLMs) like GPT, Claude, and Grok are becoming critical to digital transformation. These models can write human-like text, understand complex questions, and even automate business tasks. As LLMs became smarter, they faced a major problem: managing context. Early versions struggled to maintain consistent conversations, use real-time data, and handle large workloads. To solve this, Model Context Protocol (MCP) Servers were introduced. They help LLMs manage context in a dynamic, secure, and intelligent way. Early context management of LLMs before MCP Servers Before MCP Servers, most LLMs relied on static prompts [...]

How Model Context Protocol (MCP) Servers Powered Modern Large Language Models (LLMs)2026-02-04T13:10:07+00:00

Building an Amazon Nova AI Chatbot Using Bedrock

2025-10-31T14:49:08+00:00

If you ever want to build your own AI chatbot on Amazon, this guide will show you how. You’ll create a working, serverless chatbot powered by Amazon Bedrock Nova, one of the easiest ways to try foundation models on Amazon. The setup is simple, fully managed, and does not require hosting your own model or dealing with complex infrastructure. We’ll use Amazon Bedrock, AWS’s service for running and managing foundation models. It gives you easy API access to large language models without worrying about scaling, infrastructure, or maintenance. The Nova family is Amazon’s own set of models available in Bedrock. [...]

Building an Amazon Nova AI Chatbot Using Bedrock2025-10-31T14:49:08+00:00

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