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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXAI Data Security: Core Concepts, Risks, and Proven Practices
AI is everywhere now, and cybersecurity is no exception. If youβve noticed your spam filter getting smarter or your bank flagging sketchy transactions faster, thereβs a good chance AI is behind it. But the same tech that helps defend data can also become a liability. Today, we want to talk about AI data security and why it matters; how AI is changing the way we protect information, where things can go wrong, and what...
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How WebGL and Three.js Power Interactive Online Stores
When online shopping first took off, product pages were built around a few static images and maybe a zoom feature. That was enough back then. But todayβs customers expect far more. They want to spin a sneaker around, preview a sofa in their living ro...
Chrisβ Corner: Pretty Palettes
Iβm not terribly good at picking a good color palette out of thin air. My go-to is a dark look with bright colored accents, but Iβm wildly envious whenever I see a beautiful website with great looking colors that are very far away from what I could pull off. Sometimes, a little inspiration can go [β¦]
Safeguarding VS Code against prompt injections
When a chat conversation is poisoned by indirect prompt injection, it can result in the exposure of GitHub tokens, confidential files, or even the execution of arbitrary code without the user's explicit consent. In this blog post, we'll explain which VS Code features may reduce these risks. The post Safeguarding VS Code against prompt injections appeared first on The GitHub Blog.
Agent-to-Agent Protocol: Implementation and Architecture With Strands Agents
The future of AI lies not in isolated agents but in collaborative networks of specialized agents working together. The Agent-to-Agent (A2A) protocol defines how AI agents discover, communicate, and coordinate to solve complex problems that exceed individual agent capabilities. This technical guide explores implementing multi-agent systems using the Strands Agents SDK, an open-source framework that takes a model-driven...
Making continuous learning work at work
The most effective learning doesnβt happen in a classroom. It happens during work.
The two versions of Parquet
submitted by /u/iamkeyur [link] [comments]
Modernizing Chaos Engineering: The Shift From Traditional to Event-Driven
Imagine you're a car manufacturer. Traditionally, you schedule crash tests every few months using standard scenarios β front impact, side impact, and rollover. These tests are helpful, but they donβt guarantee how the car will perform with actual drivers, under real conditions, during unexpected events like icy roads or sudden brake failures. Now imagine that instead of static crash tests, your vehicles have smart...
The Ephemeral Cloud: A New Blueprint for Infrastructure Efficiency With Crossplane and kube-green
We were all sold a compelling vision of cloud computing: one filled with agility, endless scalability, and remarkable cost savings. Yet, for many of us in the trenches, the daily reality looks quite different. We find ourselves wrestling with an infrastructure model built on long-lived, static environments for development, testing, and staging. This old way of working has quietly become a massive drain on our...
How Bag of Words Works β The Foundation of LanguageΒ Models
When people talk about modern AI, they often point to large language models like ChatGPT. These models seem smart, as theyβre able to write, answer, and explain in natural language. But the roots of this technology go back to something very simple: t...
How teams grow organically
submitted by /u/GeneralZiltoid [link] [comments]
Orchestrating Complex Workflows With XState
XState is a state orchestration and management library designed for JavaScript and TypeScript applications. It approaches complex logic through an event-driven model that combines state machines, statecharts, and actors. This structure helps developers create clear, maintainable workflows and application states that behave reliably and are easy to visualize. Although XState is widely used in UI development, its...
Toward Explainable AI (Part 2): Bridging Theory and PracticeβThe Two Major Categories of Explainable AI Techniques
Series reminder: This series explores how explainability in AI helps build trust, ensure accountability, and align with real-world needs, from foundational principles to practical use cases. Previously, inPart I: Why AI Needs to Be Explainable: Understanding the risks of opaque AI.
5 Core I/O Models Every Software Engineer Should Know
I wrote this blog when I tried to understand how I/O in Linux works and how can we make syscall to it in mordern software applications. AI experts predict Large Language Models (LLMs) become the wrapper of traditional programming language in this AI hype. Why do we still need to know about low-level Linux syscall when programming, which is pretty boring .... I argue, not just because you can "do" the job by vibe coding...
From Logic to Linear Algebra: How AI is Rewiring the Computer
submitted by /u/shrsv [link] [comments]
The Real Cost of Poor Documentation for Developers
Anyone else spend way too much time figuring out code someone else wrote? Wrote this after another late night trying to debug something with zero comments or docs. Turns out this problem is costing way more than I thought. Pretty eye-opening stuff if you're tired of archaeology expeditions through old codebases. submitted by /u/Ok-Ad7050 [link] [comments]
Boosting Laravel Boost
Laravel dropped a new package "Laravel Boost". It makes AI suck less by giving it a bunch of tools to better understand your app, and it's great. But I think we can give it an extra boost. submitted by /u/According_Ant_5944 [link] [comments]
MCP: The Model Context Protocol Powering the Next Wave of AI Workflows
MCP (Model Context Protocol) is an emerging open protocol that defines how tools (e.g. IDEs, CLIs, notebooks, CI/CD agents) communicate relevant context to LLMs and AI agents. submitted by /u/TheTeamBillionaire [link] [comments]
Understanding dependencies array & useEffect() visually (ReactJS)x`
useEffects accepts two arguments. First the callback function or effect code. Second, the dependencies array. Interact and Learn Yourself Here We use useEffect() hook to manage side effects, Imagine side effects as simply the operations which change something outside of our component. To handle changes inside our components we have useSate. The dependencies array The dependencies array is crucial to understand. It sets...
How to make World of Gooβstyle bridge simulator π’οΈ using WL + Canvas API in a few lines. All inside a single notebook
submitted by /u/Inst2f [link] [comments]
Evolution is still a valid machine learning technique
submitted by /u/ChiliPepperHott [link] [comments]
Korean Public APIs(+ global public api 1030+) with automated link checking and English documentation
I created this comprehensive public API collection after getting frustrated with hunting down APIs across multiple sources for my projects. The repository features: - 180+ Korean public APIs (fully documented in both Korean and English) - Translated versions of popular international APIs - Automated link validation to ensure reliability - Categorized by use case for easy discovery Perfect for developers working on...
Coinbase CEO explains why he fired engineers who didnβt try AI immediately
submitted by /u/diegoargento1 [link] [comments]
Certificate Authorities: The Keystone of Digital Trust
TLDR: Certificate Authorities (CAs) are the ultimate trust brokers online, issuing the digital certificates that make secure web browsing, e-commerce, and confidential communications possible. This article breaks down what CAs do, the nuances of public and private trust, role of browsers and global forums and how they enforce compliance, and why recent security incidents underline the critical responsibility of every...
From History to the Future of AI CommunicationβIPC to MCP and A2A
Google has explicitly positioned its A2A protocol as complementary to Anthropic's MCP, aiming to address different yet related aspects of building sophisticated agentic systems. The core distinction lies in the layer of interaction each protocol standardizes. MCP focuses on the connection between a single AI agent and its external resources (tools and data), while A2A focuses on the communication and collaboration...
Exploring the Challenges and Opportunities of AI-assisted Codebase Generation
In my recent VL/HCC paper, I looked at how developers use AI tools that can generate or edit entire repositories (e.g. Cursor AI or Lovable). What I found was that the code often misses functionality, doesnβt run, or ignores existing project context. Also, I noticed that developers often forget to include their own requirements, which makes the gap between what they want and what the AI delivers even bigger. Repo-level...
SHAP-Based Explainable AI (XAI) Integration With .Net Application
Think ofExplainable AI(XAI) as your friendly guide to a complex machineβs secret thoughts. Instead of leaving you guessing why an algorithm made a certain call, XAI opens the door, points out the important clues, and speaks plainly about what drove its decision. Explainable AI builds trust on the ML decision since it speaks how the decision made, makes the human to believe and to catch and fix the mistakes. Explanation...
XSLT removal will break multiple government and regulatory sites across the world
submitted by /u/Comfortable-Site8626 [link] [comments]
Real-Time Model Inference With Apache Kafka and Flink for Predictive AI and GenAI
Artificial intelligence (AI) and machine Learning (ML) are transforming business operations by enabling systems to learn from data and make intelligent decisions for predictive and generative AI use cases. Two essential components of AI/ML are model training and inference. Models are developed and refined using historical data. Model inference is the process of using trained machine learning models to make predictions...
Building your first MCP server: How to extend AI tools with custom capabilities
Learn Model Context Protocol by building a turn-based game server that shows how to extend GitHub Copilot with custom tools, resources, and prompts. The post Building your first MCP server: How to extend AI tools with custom capabilities appeared first on The GitHub Blog.
Robots in the skies (and they use Transformer models)
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically.
Data Lake, Warehouse, or Lakehouse? Rethinking the Future of Data Architecture
Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report,Data Engineering: Scaling Intelligence With the Modern Data Stack. In the age of AI and ubiquitous data, the lines between traditional data architectures are blurring. Data lakes, warehouses, and lakehouses are no longer isolated strategies but are increasingly converging into unified, intelligent platforms. This article...
The Death of Syntax: How AI is Creating a Generation of Surface-Level Developers
submitted by /u/Ok-Ad7050 [link] [comments]
A Deep Dive into Behavior-Driven Development
Behavior-Driven Development (BDD) fosters integration between developers, testers, product owners, and business analysts. Scenario participation ensures a common understanding of system functionality among all participants. In this article, we focus on BDD, its definition, importance, and strategies for implementing it in current projects. Understanding the Problem In software engineering, fulfilling both a product's...
From Hospital Janitor to Developer with Emmett Naughton [Podcast #185]
On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Emmett Naughton. He worked as hospital janitor for years while teaching himself programming using freeCodeCamp. He's founder of Coder Dads, a chat community where da...