This article guides you through UI, API, and visual testing with Playwright and clarifies places where Playwright should be avoided.

Tired of battling the architectural duct tape and spaghetti code that inevitably creeps into complex projects? This piece reveals how architecture tests act as your codebase's automated guardian, enforcing design rules and preventing those quick fixes from derailing your system's structure.

Learn how to overcome the challenges of end-to-end testing in micro frontend environments by using Playwright with a feature-focused approach. Discover strategies for effective test organization across distributed teams and codebases while maintaining high-quality test coverage.

This article defines a simple retrieval augmentation generation (RAG) chat agent architecture suitable for helping customers discover more about your organization and its offerings.

Is Scrum really dead, or are teams using the framework as a scapegoat for something else? Let's dive into the real reasons why people think Scrum is dead.

Evidence-Based Management (EBM) and Agile Forecasting work hand in hand to help organizations make smarter, data-driven decisions. EBM ensures teams measure value delivery through empirical data, while Agile Forecasting leverages probabilistic methods to predict future outcomes. Together, they improve predictability, risk management, and stakeholder confidence, enabling teams to deliver measurable results aligned with business goals.

This article explains why Agile Forecasting is a game-changer. It examines how agile forecasting helps teams set achievable goals, manage risks more effectively, and build trust with stakeholders by delivering transparent, data-driven insights.

This article explores how Agile Forecasting, powered by Monte Carlo Simulations and flow metrics, provides teams with accurate, data-driven predictions to balance Agile's flexibility with the need for predictability in IT planning.

AI prototyping projects can be effective ways of exploring new concepts, but concluding them effectively is important too.

There's a lot that can go wrong with AI. Let's talk about how to minimize that risk.