Value Stream Management
The iPhone 18 Is Here. We’re Ready. Are You?
Today, Apple is putting the iPhone 18 Pro and iPhone 18 Pro Max in customers’ hands. Well, technically some reviewers and influencers got there first. But for the rest of us, today is the day. And today, Digital.ai Testing supports both devices on real hardware, giving mobile QA teams access from day one. That timing…
A New Pixel Launch Always Means the Same Question: Is Your App Ready?
Every time Google puts a new Pixel in people’s hands, it’s not just a hardware release — it’s a new bar for what “it just works” means on Android. A new chip, a new camera system, new screen sizes, and a foldable form factor in the mix. Google has introduced the Pixel 11 series —…
First to Market with iOS 27 Support — But It Means More Than Being First
When the official iOS 27 release dropped, Digital.ai Testing was first to market to announce support on real devices. We’re proud of that. But being first only matters if it means something for our customers. For us, it means they don’t have to wait. The moment Apple puts a new operating system in users’ hands,…
Secure and Test Your App on iOS 27 from Day One
Mobile apps are the key to your kingdom. They connect customers to your data, services, and transactions—and they are increasingly a target for attackers. The window to protect them is getting smaller. In 2026, 87% of monitored applications were attacked, with the first attack occurring in under two hours after posting to the app store. At the same time, every new operating…
The Trust Problem in AI Test Failure
In Stack Overflow’s 2025 Developer Survey, 84% of developers said they use or plan to use AI tools in their workflow, up from 76% the year before. In the same survey, 46% said they actively distrust the accuracy of what those tools produce, against 33% who trust it. Adoption went up, trust went down, at…
The Spreadsheet Is the Tell
Somewhere in your organization there is a spreadsheet. Someone built it because a director asked a question the testing platform could not answer directly: which projects are actually using the device lab, or how much testing a team ran last quarter. They exported what they could, pasted it into a sheet, wrote a few formulas,…
AI Is Accelerating Cryptanalysis. Cryptography Must Learn to Adapt
In July 2026, Anthropic reported two cryptanalysis results produced with Claude Mythos Preview. One improved an attack against HAWK, a proposed post-quantum signature scheme. The other improved an attack against a seven-round version of AES. Anthropic was explicit about the limits: neither result affects production systems today. That caveat is the right place to begin….
How to Build Support-Ready Products – Lessons from Real Customer Issues
It’s 2 a.m. somewhere in the world, and a release manager at a global enterprise is staring at a red pipeline. Hundreds of automated tests were supposed to run overnight against a mobile device cloud. Instead, they failed with errors that don’t explain themselves. By the time the ticket lands in support queue, the customer…
Parallel Testing Done Right: Why Your Pipeline Fails (And How to Fix It)
Every QA tester knows the crushing feeling of watching an automation suite grow over time. What starts as a nimble 5-minute smoke test gradually evolves into a sprawling 2-hour execution run. Each new feature brings a handful of additional Appium mobile scripts or Selenium browser flows; before long, developers are tapping their feet, release managers…
Why Faster Release Risk Triage Starts with Better Operational Context
Enterprise release teams rarely lack data. They lack a fast, reliable way to turn scattered release signals into a clear operational picture. A production-bound release may have a risk score, a failed task, an overdue approval, a delayed dependency, and a schedule variance, yet those signals often live in different views and require different people…
