Systems | Development | Analytics | API | Testing

Traditional synthetic data generation approaches, still called “Test Data Management” (TDM) by legacy vendor, were designed for a world where applications were monolithic, databases were the center of gravity and change happened slowly. The world looks a lot different now. Modern systems are distributed, often times event-driven, and increasingly powered by streaming data and AI agents. In this environment, batch-oriented synthetic data generation fails to capture how systems actually behave.

You’ve probably heard of OpenClaw. Maybe you’ve seen the demos where an AI agent opens a browser, navigates to your CRM, fills in a form, and files a support ticket. No API required. Maybe you thought “that’s cool but I’d never run that at work.” Your employees already are. According to Permiso’s research, 22% of enterprise customers have employees running OpenClaw without IT approval.

For the fifth consecutive year, Dresnor Advisory Services has recognized insightsoftware Data + Analytics as a top Embedded Business Intelligence solution. This year’s dual recognition, winning both the 2025 Technology Innovation Award and 2025 Application Innovation Award, reinforces Logi Symphony’s position as the market’s premier solution for embedding analytics directly into applications.

Building a web application crawler came with plenty of challenges—here’s what we learned. Recently, we built a web application crawler from scratch—which had some scratching their heads, asking why we’d undertake such a thing. Here’s our answer to that, plus some interesting technical challenges we ran into and how we tackled them.

Any time an organization closes the books or practices the governance needed to meet regulatory demand, it relies on reporting. Reporting technology is designed to save time while increasing accuracy, but many long-standing reporting vendors are existing or de-emphasizing this still-essential space. This leaves a gap for teams that need a modern, production-grade reporting solution. And when choosing between reporting tools, architecture is important.

Chrome developer tools, or Chrome DevTools, give us a window on how our websites working in the wild. Built for developers of all experience grades, they provide powerful ways to inspect, debug and optimize our projects. However the sheer breadth of functionality can be a mind-melt if you’ve not worked with DevTools before, and there are lots of advanced features that even experienced users find tricky.

You’ve probably heard: “Node.js is single-threaded.” That statement is only partially correct. The JavaScript engine (V8) is single-threaded. Node.js as a runtime is not. Under the hood, Node.js uses multiple threads — through libuv and the operating system — to handle I/O and computationally expensive work. So the real question isn’t whether Node.js is single-threaded. It’s.

How integration forms the connective tissue of human-AI collaboration and enables the next evolution of enterprise intelligence.

Every Android developer has been there: yesterday's build finished in 2 minutes, but today's identical build takes 8 minutes. You check your code - nothing major changed. You check your environment - everything looks the same. So why the massive difference? Without visibility into what actually changed between builds, debugging performance issues becomes guesswork. You're left wondering: Which tasks didn't come from cache? What inputs changed? Why did this specific compilation task take so long?

Ever seen a workflow pass QA, then fail the moment users retry, refresh, or hit a timeout? That gap usually isn’t about a “wrong input.” It’s often because the system is in a different state when the same input arrives. In state transition in software testing, the state decides what’s allowed, what must be blocked, and what should happen next. It is one of the simplest ways to make these workflows behave predictably in the real world.