In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.
Selenium adoption is easy; scaling is hard. Use explicit waits, Page Object Model, and stable locators. Treat test infrastructure as a real engineering investment.
Testcontainers enables realistic integration testing with broad language support while balancing fidelity, performance, and nuanced adoption strategies.
This article demonstrates a "Threat-Model-First" workflow where we use AI not just to write code, but to aggressively attack our logic before we implement it.
In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.
AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.