Systems | Development | Analytics | API | Testing

An outdated Selenium or Appium build can look exactly like a flaky test … until you check the version number.

The pull request looked perfect. Two approvals, clean diff, all checks green. The team shipped it Thursday afternoon. By Friday morning, support tickets were coming in. On a popular mid-range Android device, the new checkout button rendered behind a promotional banner: visually present but physically untappable. Every reviewer read that code, yet none of them could have caught it, because the defect was never visible in the diff. It only ever appeared on the device.

Node.js 24 is the latest Long-Term Support release, and Node.js 26 is the Current release line. Node.js 18 and Node.js 20, meanwhile, have both reached End-of-Life (EOL). That should make the direction of travel obvious. Instead, Matteo Collina’s analysis of Node.js download data showed that even discontinued Node.js 12, 14, and 16 release lines were still generating tens of millions of downloads per month, highlighting how slowly the ecosystem moves away from unsupported versions.

Selecting load testing tools is rarely a matter of picking the most feature-rich option. Instead, it’s about finding the right fit for your team’s skills, workflows, and performance goals. Open source solutions act like a Swiss Army knife: versatile, adaptable, and packed with options for those who know how to use them. Commercial platforms, by contrast, function more like a precision instrument: focused, reliable, and designed to deliver results with minimal friction.

When a build fails, the tests are the easy part. Here's how to implement AI root cause analysis so engineers stop losing hours to logs and diffs.

Sovereignty is no longer a compliance debate. It is the operating condition for running data and AI in production. 89% of organizations in our 2026 survey of 320 enterprises rate data sovereignty as very or rather important. Only 38% have governance mature enough to survive a real AI production incident. That is the gap. It sits exactly where data and AI architecture meet enterprise control, and it is the central tension of the year.

SmartBear BearQ, an agentic QA system, has won a 2026 CRN Tech Innovator Award. CRN, a brand of The Channel Company, named BearQ a winner in the Application Development and DevOps category, calling it out among the most innovative technologies shaping the IT channel this year. AI has changed how fast software gets built, but for many organizations, testing hasn’t kept pace.

Android app crashes are a nightmare for developers. But they rarely come out of the blue. Most crashes stem from structural causes like leaky memory or sloppy resource management, and most failures will have a root cause that surfaces in either logcat or the stack trace. This post will give you a true Android crash course, showing you the tell-tale signs and the tried-and-tested fixes that work across devices, territories and app utilities.

Organic social reporting collapses into vanity metrics whenever the reporter runs out of time to dive deeper, which is most of the time. Follower counts get compared because they’re comparable at a glance. Engagement rates get quoted because they sound comparable, even though each platform calculates them differently.