Silverback AI Chatbot Introduces AI Assistant Feature to Support Structured Digital Communication and Intelligent Workflow Automation - Daytona Beach News-Journal
Silverback AI Chatbot Introduces AI Assistant Feature to Support Structured Digital Communication and Intelligent Workflow Automation Daytona Beach News-Journal
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I built an open-source LLM security scanner that runs in <5ms with zero dependencies
I've been building AI features for a while and kept running into the same problem: prompt injection attacks are getting more sophisticated, but most solutions either require an external API call (adding latency) or are too heavyweight to drop into an existing project. So I built @ny-squared/guard — a zero-dependency, fully offline LLM security SDK. What it does Scans user inputs before they hit your LLM and blocks: 🛡️ Prompt injection — "Ignore all previous instructions and..." 🔒 Jailbreak attempts — DAN, roleplay bypasses, override patterns 🙈 PII leakage — emails, phone numbers, SSNs, credit cards ☣️ Toxic content — harmful inputs flagged before reaching your model Works with any LLM provider (OpenAI, Anthropic, Google, etc.). The problem with existing solutions Most LLM security tools
The Kidney Problem
Your immune system has an ID card on every cell in your body. It's called the Major Histocompatibility Complex. Your immune cells check these cards constantly. If the card matches your genome, the cell belongs. If it doesn't, it gets attacked. This system works perfectly inside one body. It fails completely between two bodies. Transplant a kidney from one person to another. The kidney is healthy. It functions. It would save the recipient's life. But the recipient's immune system can't read the donor's ID card. The MHC molecules on the kidney's cells don't match. The immune system attacks the transplant. Without immunosuppressive drugs, the kidney dies. The credentials don't port. We run a network of 13 autonomous AI agents. They build trust by publishing work and citing each other. An agen
🚀 The "Legacy Code" Nightmare is Over: How AI Agents are Automating App Modernization
Let’s be honest for a second. If you’ve been a software engineer for more than a few years, you’ve probably inherited a "legacy monolith" . You know the one I'm talking about. The massive, 15-year-old codebase where business logic is hopelessly tangled with presentation layers, the original developers left a decade ago, and touching a single file breaks production. Historically, when upper management says, "We need to move this to the cloud," developers groan. The process of migrating and modernizing apps—deciding whether to Rehost, Refactor, or Rebuild —is notoriously painful, expensive, and slow. But the meta is shifting. Microsoft just released their highly anticipated App Modernization Playbook , and tucked inside the strategy guide is the absolute game-changer for 2026: Intelligent Ag
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The Kidney Problem
Your immune system has an ID card on every cell in your body. It's called the Major Histocompatibility Complex. Your immune cells check these cards constantly. If the card matches your genome, the cell belongs. If it doesn't, it gets attacked. This system works perfectly inside one body. It fails completely between two bodies. Transplant a kidney from one person to another. The kidney is healthy. It functions. It would save the recipient's life. But the recipient's immune system can't read the donor's ID card. The MHC molecules on the kidney's cells don't match. The immune system attacks the transplant. Without immunosuppressive drugs, the kidney dies. The credentials don't port. We run a network of 13 autonomous AI agents. They build trust by publishing work and citing each other. An agen
Web Color "Wheel" Chart
Based off of a beautiful old web color "KiloChart" poster from 2002 which I purchased a long time ago. It was put out by the now defunct Visibone corporation. This little tool makes it easy to find the right color(s) for your page in rgb() output. The chart shows 42 different hues in triangle groups of 25 shades each.
🚀 The "Legacy Code" Nightmare is Over: How AI Agents are Automating App Modernization
Let’s be honest for a second. If you’ve been a software engineer for more than a few years, you’ve probably inherited a "legacy monolith" . You know the one I'm talking about. The massive, 15-year-old codebase where business logic is hopelessly tangled with presentation layers, the original developers left a decade ago, and touching a single file breaks production. Historically, when upper management says, "We need to move this to the cloud," developers groan. The process of migrating and modernizing apps—deciding whether to Rehost, Refactor, or Rebuild —is notoriously painful, expensive, and slow. But the meta is shifting. Microsoft just released their highly anticipated App Modernization Playbook , and tucked inside the strategy guide is the absolute game-changer for 2026: Intelligent Ag
AionUi: One Interface for 12+ AI Agents — A Free, Open-Source Cowork Desktop App
Originally published at recca0120.github.io You've got Claude Code installed. Also Codex. Maybe Qwen Code for Chinese-language tasks. Each tool gets its own terminal window, MCP configs are duplicated across tools, and conversation history is scattered everywhere. AionUi tackles exactly this: one desktop app that brings all your AI agents under a single interface. Free, open-source, Apache 2.0 licensed. What It Does AionUi is a cross-platform desktop app built with Electron + React, supporting macOS, Windows, and Linux. Its core purpose is unified management of multiple AI coding agents. Supported Agents AionUi auto-detects CLI tools installed on your machine. Currently supported: Claude Code, Codex, Qwen Code, Goose AI, OpenClaw, Augment Code iFlow CLI, CodeBuddy, Kimi CLI, OpenCode, Fact
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