Author: Shawn

Learn the Selenium WebDriver stability lessons teams discover too late, from flaky tests to locators, waits, and scaling parallel runs.

Smart homes were once about the ability to control your lighting with your phone and having a thermostat that could learn your schedule. That was basically it for years. Now the category’s expanding into places nobody really expected, and one of the weirder additions is a camera watching a bird feeder outside your kitchen window. It sounds almost silly written out like that. A camera for birds sitting next to your smart lock and your video doorbell. But once you actually look at how these devices work, they fit the smart home pattern almost perfectly, connected, automated, quietly logging data,…

For decades, personal technology has focused on extending what people can do. Smartphones gave us instant communication. Wearables turned everyday activity into measurable data. Cloud platforms moved our work into persistent digital environments. Artificial intelligence now helps us write, analyze, search, code, and create. But there is another frontier that receives considerably less attention: technology designed to help people understand and develop their own cognitive abilities. Call it cognitive tech. Unlike a new smartphone or AI assistant, cognitive technology does not primarily attempt to make the device smarter. It asks a different question: Can technology help the user become more…

Cybersecurity is no longer a problem that organizations can afford to treat as a routine IT maintenance issue. A company may have firewalls, endpoint protection, access controls, backups, and security software in place, yet still face serious exposure when those defenses are poorly configured, inconsistently monitored, or disconnected from the risks that matter most to the business. The difference between having security tools and having a meaningful security strategy often comes down to process: how risks are identified, how weaknesses are prioritized, and how quickly an organization can respond when something goes wrong. This distinction helps explain why specialized cybersecurity…

Qualtrics dropped something interesting this month. Its new XM Data & AI platform doesn’t just collect customer feedback anymore. It builds a digital twin of your customer base, then runs simulations against it before you touch a single real user. Change your pricing, test a new onboarding flow, tweak a loyalty tier. The system tells you what happens before you actually do it. That’s not a small feature update. It’s a shift in how businesses make decisions about people they’ve never met. Most coverage of this story stopped at the enterprise angle: fewer failed product launches, tighter marketing spend, smarter…

Two customers can pay the same $200 a month and cost a company wildly different amounts to serve, one might generate $20 in backend costs, the other $2,000. That gap is exactly why flat subscriptions are falling apart for anything compute-heavy: APIs, AI inference, data pipelines, storage-hungry workloads. A single flat price either overcharges the light user or quietly loses money on the heavy one. Usage-based pricing exists to close that gap by tying what customers pay to what they actually consume. The hard part was never the concept. It’s deciding what to meter, how to structure the charge, and…