Systems | Development | Analytics | API | Testing

In the rapidly evolving landscape of software development, QA teams never stop searching for means to optimize testing efficiency without losing precision. Playwright Model Context Protocol (MCP) has a new paradigm that is revolutionizing automated testing. Playwright MCP fills the gap between Large Language Models (LLMs) and test environments, naturalizing and simplifying QA automation. It is a paradigm shift in how testing is understood within the context of contemporary software development.

When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.

In the part 1 of this series, we covered the fundamentals of caching (like fragment and Russian Doll caching). Before continuing, read that post here. This time, we’ll look at understanding Rails cache stores at a deeper level, so let’s jump in! Before we start part 2, let’s note that another way to make sure your Rails apps are ultra-fast is with Scout’s integrated monitoring and logging, so you can spot problems before your users do.

You know your business, you know your users, and you have some user needs and tasks. Great! But what's the next step? You first need to create a website to get your idea out there, right? Yes and no. There are a lot of tools that you can use to show people your idea, but only some of them are engaging. People want to interact with what you offer, which is why they need a website prototype. A prototype is the earliest form of a product, almost identical to the final product.

Volume testing is a type of software performance testing that evaluates a system’s capacity to process massive data volumes within a specific timeframe. It identifies bottlenecks, crashes, or inefficiencies under high data loads, ensuring performance, accuracy, and stability.

APIs power everything—from your favorite apps to critical business systems. But what happens when your API is subjected to large or unexpected traffic, security threats, or plunges under load? One weak link can destroy UX, destroy data or take down your service. API testing serves as your safety system beyond being a mandatory requirement. Faster development schedules and increased user demands during 2025 require organizations to make essential testing tool choices.

A data lakehouse is an innovative data architecture that blends the strengths of data lakes and data warehouses into a single, cohesive system. It retains the cost-effectiveness and flexibility of data lakes while incorporating the structured data management and performance optimization capabilities of data warehouses.

Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. When we saw MCP’s potential, we immediately started exploring how we could bring real-time data streaming into the mix. With our long history of supporting open source and open standards, building an MCP server was a natural fit.

Notifications muted. Social media logged out. Phone flipped face down. Sounds familiar? Well, in a world buzzing with digital distractions, many of us have tried going off the grid by deactivating apps, turning on airplane mode, or even attempting a full-blown digital detox. But let’s be honest, is that truly sustainable? For years, smartphones have been labeled as the root cause of stress and reduced productivity.

If you’re looking for an alternative to Microsoft App Center, this article will cover the top considerations, and how Sauce Labs handles these in its Mobile App Distribution offering.