Systems | Development | Analytics | API | Testing

Top 5 IPv4 Marketplace & Auction Platforms Compared (2026)

Your network team has found a /24 that looks right. The quote shows a price per address and little else. It doesn't confirm that your organization qualifies to receive the block, that your cloud provider will accept it, or what happens to your payment if the registry transfer stalls.

Top Virtual Medical Assistant Companies in the USA for 2026: 7 Providers Compared

Front-desk work is where most practices feel the staffing squeeze first. Phones ring during check-in, reschedule requests pile up and patient messages wait for someone to route them. Prior authorization alone takes an average of 13 hours per provider each week, according to CMS estimates. A virtual medical assistant (VMA) is a remote, HIPAA-trained professional who takes over that administrative layer. The best companies differ less on what they promise and more on how they price, supervise and protect patient data.

How Much It Costs to Self-Host OTA Updates for 100 Million Users

How much does it actually cost to self-host over-the-air (OTA) updates? Especially for an app with many millions of users. It’s a useful number to know if you’ve got a growing Expo Updates bill. This article prices an extreme case of 100 million monthly active users (MAU). Here is the monthly cost of hosting Codemagic Patch on DigitalOcean at a few sizes: You can host Patch on any Linux compatible machine, such as an EC2 on AWS or a machine on Fly.io.

Why AI Coding Agents Are Breaking Your Software

While AI coding agents increase initial build speed, they often lack context about real-world user behavior, leading to downstream production bugs. Watch to learn how to move beyond basic agent-on-agent reviews and set up a true "Quality Factory" using: Check out our demos or get started free: speedscale.com.

MCP vs. API: What's the difference for AI analysis?

Businesses have long used APIs to connect their software applications and exchange data. These connections power many of the tools companies rely on for reporting, allowing them to bring information from different systems into one place and keep their reports up to date. Now, AI assistants like ChatGPT and Claude can connect to those same business applications through MCP (Model Context Protocol), making it easier to access information and perform tasks using natural language.

Why did our pipeline drop? How to find the cause in your HubSpot deal notes with AI

Open pipeline drops when deals leave it (closed won, closed lost or pushed out of the period) or when fewer new deals come in. Your CRM dashboard shows which of those happened. The reason behind it sits in HubSpot, in the notes, emails and call logs on the deals themselves. To find it in one question, ask an AI analyst that can read both. With the HubSpot MCP connector, Genie, the Databox AI Analyst, traces the drop to the deals behind it and tells you what the reps wrote about them.

From Palette to Interface: Exploring Nodlume's Free Design Tools

Designing an interface means making decisions that need to work together. Colors establish emphasis, typography separates headings from supporting information, and spacing gives related elements room to form clear groups. A useful starting point is a small, reusable set of choices that you can test on a representative screen before applying them throughout a project.

How to Use the Network Tab in Chrome DevTools: Find Failed Requests, Payload and Response #Shorts

How to use the Network tab in Chrome DevTools: open DevTools, reload the page, filter to Fetch/XHR, then click a request to read its Headers, Payload and Response. A status in the 400s or 500s tells you which request failed.

7 Best Cloud Computer Environments for Autonomous AI Agents

An AI agent can understand a request perfectly and still fail to complete it. The browser loses its authenticated session. A downloaded file disappears when the environment closes. A website presents an unexpected dialog. Two tasks accidentally share the same account state. These failures happen in the execution environment, where an agent's decisions become actions.

Migrating Gatling Simulations to OctoPerf With an AI Agent

Migrating a load testing project is rarely difficult, but it takes time and it's easy to give up halfway. That's why OctoPerf 18 comes with a Gatling migration playbook for AI agents. In our NeoLoad and LoadRunner walkthroughs, the projects were converted into JMeter Virtual Users. A Gatling simulation is code, so here it stays code: the agent rewrites it as a K6 script, and its injection profile becomes an OctoPerf scenario.