Maestro is an open-source E2E testing framework that works across web, iOS, and Android using the same simple YAML syntax. It's perfect for teams who want to quickly add E2E tests without building complex automation frameworks.

When building AI applications with LLMs, many teams are still "vibe testing" their way to production. This guide shows how file-based prompts and comprehensive test scenarios build reliable review analysis systems that handle real-world complexity, allowing you to build a solid set of repeatable automated regression tests.

LLMs produce non-deterministic outputs, making traditional exact-match testing ineffective. How can you verify an application response is contextually accurate when the response can vary with every request? Let's take a look at promptfoo!

Website performance directly affects the user's experience, and your business's bottom line. One way of identifying performance issues is via API-based load testing tools such as k6. API load tests tell you whether your services scale, and how quickly they respond under load, but they don’t measure the full user experience. Let's see how Google Lighthouse can help!

Load testing is crucial for ensuring your applications can handle expected load volumes. In this guide, we'll set up a complete load testing environment using k6 for testing, Prometheus for metrics collection, and Grafana for visualization—all orchestrated with Docker.