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.
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.
Feature flags and safe rollouts with Azure App Configuration for large SPA teams, hands-on setup, core principles, TypeScript code for backend and frontend.
This project demonstrates a production-ready approach to deploying a containerized Quarkus API on AWS EKS/Fargate, leveraging Infrastructure as Code through the AWS CDK.
Agentic AI can transform testing—but only if it’s controlled. Start small, add guardrails, integrate tools, and scale autonomy once reliability and cost are proven.
CORE
