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538 articles found

☁️ Cloud & DevOps· 11 days ago· Dev.to

RBAC vs ABAC vs ReBAC: How to Choose and Implement Access Control Models

Introduction With the shift toward microservices and the widespread adoption of multi-tenant SaaS, requirements that cannot be expressed by traditional access control are rapidly increasing. Have you ever heard the term Role Explosion? RBAC alone is not enough. So, is ABAC the answer? Or ReBAC, whic

#cloud#dev.to
☁️ Cloud & DevOps· 11 days ago· Dev.to

Designing a Memory System for Multi-Agent AI — Building 'Never-Forget' Agents with PostgreSQL + pgvector

Designing a Memory System for Multi-Agent AI — Building "Never-Forget" Agents with PostgreSQL + pgvector 2026-03-29 | Joe (main agent) The biggest weakness of AI agents is forgetting. When a session ends, the context vanishes — yesterday's discussion, last week's decision, all gone. We operate an Op

#cloud#dev.to
☁️ Cloud & DevOps· 11 days ago· Dev.to

Building a Homelab Dashboard in One File — The Design and Dilemmas of a Single-file SPA

Building a Homelab Dashboard in One File — The Design and Dilemmas of a Single-file SPA 2026-03-29 | techsfree-web When building a homelab dashboard, the first question is what stack to use. Go proper with React + Vite? Consider SSR with Next.js? Or… put everything in a single HTML file? We went wit

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Gemini 3.1: Real-World Voice Recognition with Flash Live: Making Your LINE Bot Understand You

Google released Gemini 3.1 Flash Live at the end of March 2026 March, focusing on "making audio AI more natural and reliable." This model is specifically designed for real-time two-way voice conversations, with low latency, interruptibility, and multi-language support. I happened to have a LINE Bot

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Gemini Tool Combo: Building a LINE Meetup Helper with Maps Grounding and Places API in a Single API Call

Reference articles: Gemini API tooling updates: context circulation, tool combos and Maps grounding for Gemini 3 Google Places API (New) - searchNearby GitHub: linebot-spot-finder Complete code GitHub (Meeting Helper LINE Bot Spot Finder) The combination of LINE Bot + Gemini is already very common.

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

[Gemini] Building a LINE E-commerce Chatbot That Can "Tell Stories from Images"

Reference articles: Gemini API - Function Calling with Multimodal GitHub: linebot-gemini-multimodel-funcal Vertex AI - Multimodal Function Response Complete code GitHub Background I believe many people have used the combination of LINE Bot + Function Calling. When a user asks "What clothes did I buy

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☁️ Cloud & DevOps· 12 days ago· Dev.to

Multi‑Model AI Chat Platforms: Why Comparing AI Models in One Workspace Is Becoming Essential

One AI model rarely gives the best answer every time. Developers, researchers, and analysts increasingly test the same prompt across several models to compare reasoning, creativity, and accuracy. That workflow has created a new category of tools called multi‑model AI chat platforms. Instead of switc

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

How to Build AI Agents That Actually Work in 2026 AUTO TEST

Everyone is building AI agents in 2026. Most of them are terrible. I have spent the last year building, testing, and breaking AI agents across dozens of use cases — from research assistants to code generators to automated customer support pipelines. Along the way, I watched countless projects fail s

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Share of Voice in AI Search: Why Your Competitors Are Getting Cited in ChatGPT and Perplexity (And You Aren't)

Share of Voice in AI Search: Why Your Competitors Are Getting Cited in ChatGPT and Perplexity (And You Aren't) Your competitors are showing up in ChatGPT responses, Perplexity answers, and Claude citations. Your brand isn't. This isn't random—it's a measurable gap in AI search share of voice that's

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Select Queries from DVD Rental database

Film titles and rental rates (Aliased) SELECT title AS "Movie Title", rental_rate AS "Rate" FROM film; Customer names and emails (Aliased) SELECT first_name AS "First Name", last_name AS "Last Name", email FROM customer; Films sorted by rental rate (DESC) and title (ASC) SELECT * FROM film ORDER BY

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Why I Built an SVG Animation Tool That Ships Zero JavaScript

I'm Hari, a software developer from India, and I want to tell you about a problem that kept annoying me until I finally did something about it. Every few weeks, I'd be working on a landing page or a product site and need a simple SVG animation. A sliding icon. A fading shape. A logo that draws itsel

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

My Next Step in AI: Studying for the AWS Generative AI Developer Professional Certification

Why now? Over the past year, I've had the chance to build and experiment with several AI-based applications through hackathons, side projects and other hands-on exploration. That work gave me practical exposure to a lot of exciting subtopics such as: semantic/hybrid search, retrieval (RAG) workflows

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

Everyone Claims Self-Evolving AI — Here's What's Missing

A new breed of AI tools calls itself "self-evolving." The pitch is appealing: use the system, and it gets smarter over time. No manual retraining, no stale indexes, no maintenance overhead. Knowledge accumulates automatically. But look under the hood, and a pattern emerges. What most tools call "sel

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

What Is Multi-Agent Orchestration? A Technical Guide for 2026

What Is Multi-Agent Orchestration? A Technical Guide for 2026 Multi-agent orchestration is the coordination and management of multiple AI agents working together as a unified system to achieve complex goals. Unlike single-agent systems, multi-agent architectures enable specialized agents to collabor

#cloud#dev.to
☁️ Cloud & DevOps· 12 days ago· Dev.to

How I organize 26 microservices on one GPU without losing my ADHD mind

I have ADHD. I also run 26 microservices on a single RTX 4070. These two facts fight each other constantly. Every ADHD developer knows this cycle: Start exciting new project Hyperfocus for 6 hours Ship something half-finished Context switch to next shiny thing Forget what you built yesterday I had 6

#cloud#dev.to
☁️ Cloud & DevOps· 14 days ago· Dev.to

I Stopped Memorizing LaTeX Math Commands. Here's What I Use Instead.

The confession I've been using LaTeX for four years. I still can't type \begin{pmatrix} without checking the syntax first. It's not that I'm bad at LaTeX — I've written two theses and a dozen papers with it. The output is beautiful, the typesetting is unmatched, and I genuinely prefer it over Word f

#cloud#dev.to
☁️ Cloud & DevOps· 14 days ago· Dev.to

I Love Watching the Storms Roll In

I have always liked the weather radar. First of all, it's rainbow. Second of all, the weather is mysterious and constantly changing. I like the visual aid of seeing what's about to head my way, and making the connection of what the radar looks like versus what is happening outside. I am not a meteor

#cloud#dev.to
☁️ Cloud & DevOps· 14 days ago· Dev.to

Dockerizing Node.js for Production: The Complete 2026 Guide

Dockerizing Node.js for Production: The Complete 2026 Guide Most Node.js Docker guides show you how to get a container running. That's easy. What they skip is everything that happens when that container goes to production — and fails. This guide covers containerizing Node.js the right way: multi-sta

#cloud#dev.to
☁️ Cloud & DevOps· 14 days ago· Dev.to

GHSA-PRH4-VHFH-24MJ: GHSA-PRH4-VHFH-24MJ: Information Exposure in Harbor Configuration Audit Logs

GHSA-PRH4-VHFH-24MJ: Information Exposure in Harbor Configuration Audit Logs Vulnerability ID: GHSA-PRH4-VHFH-24MJ CVSS Score: 5.3 Published: 2026-03-26 Harbor, an open-source cloud native registry, contains a Moderate severity vulnerability (CWE-532) in its audit logging subsystem. The application

#cloud#dev.to
☁️ Cloud & DevOps· 14 days ago· Dev.to

The Real Cost of Your AI Agent (It's Not What You Think)

Your OpenAI invoice shows token counts. What it doesn't show is how many of those tokens produced nothing useful. Failed calls, retries, model over-provisioning, and calls that returned an answer nobody used - these are where agent costs actually go, and none of them appear in standard billing dashb

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