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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

For QA leaders, “AI in QA” often feels like a buzzword. Vendors pitch self-healing pipelines, auto-generated tests, or AI judges for LLM outputs. But when you’re staring down your backlog of manual test cases, flaky automation, and brittle pipelines, it’s hard to know where to even start. Here’

When we talk about testing, most people think of unit tests, integration tests, and end-to-end tests. But if you’re working with large language models (LLMs), there’s a new kind of test you can’t ignore: prompt regression testing. It sounds fancy, but at its core it’s just

Artificial Intelligence is changing not just what we build, but also how we test it. Traditional QA has always relied on clear oracles: expected vs. actual results. But when you move into the world of Large Language Models (LLMs), the outputs aren’t simple booleans or numbers; they’re paragraphs