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Building a Website with AI: What You Should Know First

The age of artificial intelligence is here, and it has already made many types of otherwise time-consuming tasks that much easier. For some, that includes building a website. Building a website from scratch takes some serious time (and talent, of course). While AI can't take all the creativity out of your hands, it can act as a tool to help you achieve the website's end result that much faster. Of course, overreliance is not the answer, though. So, to get it right, here's what you should know before you start building a website alongside AI.

Sending SMS Alerts From Your Existing Email System: A Practical Guide

Why ops teams are giving their most urgent alerts a faster path than the inbox. Every operations team has been burned by the same thing at least once. Something breaks, an alert email goes out, and nobody sees it for forty minutes because it was sitting in an inbox behind a hundred other messages. For routine status noise, that delay does not matter. For a live incident, forty minutes is the difference between a quiet fix nobody notices and a very loud outage that ends up in a postmortem.

5 Best Scooter Sharing Software Platforms in 2026

The software that runs behind the scenes is what makes a scooter sharing business reliable, effective and trustworthy. There is so much more that goes into it than simply buying vehicles and putting them on the streets. Your day to day operations are so important, from customer bookings and payments to fleet monitoring, maintenance, and reporting.

Create uptime monitors by asking Claude Code (MCP demo)

Create and manage uptime monitors without leaving your editor. In this demo I connect Claude Code to UptimeMonitoring's MCP server with one command, then just ask it to monitor six sites. It creates all six, runs the first check, and reports back, then shows the live monitors in the dashboard. What UptimeMonitoring is: MCP is a thin layer over a normal REST API; if you'd rather curl + cron, that path is first-class.

Managing AI Agent Primitives Like Real Software Packages with APM and JFrog

AI agents are part of the modern development workflow. They write code, review pull requests, generate tests, call tools, interact with MCP servers, and help developers move faster. But behind every useful agent, there is something just as important as the model itself: the context that tells the agent how to behave. That context can include skills, prompts, instructions, hooks, commands, scripts, references, and MCP server definitions. In a small project, managing these primitives is pretty simple.

Unlock AIOps with Red Hat Ansible Automation Platform and LogicMonitor Edwin AI

Edwin AI and Red Hat Ansible Automation Platform help ITOps teams move from correlated alerts and root cause analysis to governed, auditable remediation. When an outage starts, the first alert is only the first artifact. The harder work follows: grouping related signals, separating symptoms from cause, identifying the affected service, and deciding whether the next action is safe to run.

AI Is Writing More Code Than Ever. Your Release Process Hasn't Kept Up. | Harness Blog

A new report from LeadDev and Harness makes one thing clear: AI coding tools have fundamentally changed how much code organizations are producing. What has not changed nearly fast enough is how that code gets released. The State of AI-Driven Software Releases 2026 report, based on responses from 500424 engineers across industries and company sizes, puts real numbers behind a problem that engineering leaders have been feeling for a while. AI is accelerating the code creation side of the SDLC.

Poisoning The Pipeline: How The Mastra AI Ecosystem Was Poisoned At The Registry Level | Harness Blog

The open-source landscape has witnessed another highly automated, ecosystem-level subversion. On June 17, 2026, a critical software supply chain attack struck the Mastra AI framework - a popular open-source TypeScript ecosystem used widely to build AI agents, workflows and RAG pipelines. By exploiting a compromised contributor account, threat actors successfully mass-published 144 malicious packages under the official @mastra npm scope.

We built an SRE bot on AURA. Here's what we learned.

PagerDuty fires. You open the incident. Title, timestamp, nothing else. Whatever context exists is in someone's head, in a Slack thread from two weeks ago, or in a runbook nobody has touched since the last reorg. We got tired of that. So we put an AURA agent behind a Slack bot and pointed it at our own production environment.