AI

When you ask an AI a question; whether it’s ChatGPT, Claude, or something running on your phone; it feels like magic. But under the hood, there’s nothing magical about it. It’s an enormous industrial stack, stretching from giant warehouses full of computers all the way down to

Every week I see a version of the same hot take on LinkedIn: “We don’t need QA anymore. We’ll just use AI.” - some CTO It’s a tempting idea. AI is everywhere, reshaping software development and automating tasks we once thought untouchable. If AI can generate code,

If you’ve ever tried to scale test coverage for an AI agent, you’ve probably hit the same wall most teams do: running the tests is easy; evaluating them is the hard part. Modern infrastructure can spin up tens of thousands of scenarios overnight. But knowing whether those 50,

Most test engineers know the pain of keeping automation in sync with a fast-moving product. Locators change, flows shift, features evolve; and suddenly your test suite is brittle. That’s where Icarus comes in. Icarus is an AI-powered test agent I built that converts annotated screenshots → structured test cases using

Quality has always been the bottleneck of delivery. You can scale engineering, spin up cloud environments, and automate CI/CD; but QA is the last defense between your customers and production. Artificial Intelligence changes that equation. Not by replacing testers, but by expanding their reach. With the right plan, you