Systems | Development | Analytics | API | Testing

How to Leverage Playwright MCP for Smarter QA Automation: A Complete Guide

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.

How to Choose Between SQL, Query Builders, and ORMs in Node.js

When building Node.js applications that interact with relational databases, you have a large variety of tools at your disposal to manage and execute queries. The three most common approaches — raw SQL, query builders, and Object-Relational Mappers (ORMs) — offer unique advantages and challenges, making it difficult to decide which is best. In this guide, we will compare the strengths, trade-offs, and use cases of all three approaches.

Why Code Quality Is Essential in Software Defined Vehicles

Software has become a core component of modern vehicles, so much that software defined vehicles (SDVs) are transforming the automotive market, bringing key features to the software rather than the hardware of the vehicle. But developing high-quality code for software defined vehicle architecture is challenging.

Game Tech Summit 2025: Navigating the Future of Games and Media Development

Last week, industry leaders gathered at the Game Technology Summit during GDC 2025 to explore emerging trends and challenges in game development. The panel discussion, moderated by Jase Lindgren (Sr. Solutions Engineer and P4 Evangelist, Perforce), featured insights from Colin Walder (Engineering Director, CD PROJEKT RED), Joshua Orellana (Head of Animation and Games, Halon Entertainment), and Matt Ellis (Game Dev Advocate, JetBrains).

Your Software Changes in Real-Time, So Should Your Architecture Diagrams

The evolution of diagramming in software mirrors the evolution of software development: from static and planned upfront → to lightweight and iterative → to automated and real-time. The 1968 “Mother of All Demos” by Douglas Engelbart wasn’t just a showcase of new technology—it was a glimpse into the future of how we interact with and visualize complex information, including software systems.

Visual Regression Testing with Playwright Vs. Others

Playwright is a Microsoft-created NodeJS package with capabilities that are quite similar to Puppeteer. Both libraries enable you to automate browser-based tasks. With Playwright, you can launch or connect to a Chrome, Edge, Safari, or Firefox browser and exchange instructions. The DevTools protocol (for Chrome browsers) and a bespoke protocol (for Firefox and WebKit browsers) are used for these messages.

Automating API Mocks in Your CI Pipeline with proxymock

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.

gRPC vs. REST: Key Similarities and Differences

In 2025, APIs continue to evolve, with gRPC and REST being two dominant architectures. Understanding their differences is crucial for modern software development. If you’re at all familiar with APIs, you know that REST APIs are the main API used, particularly when it comes to microservices and their applications. gRPC is a high-performance, binary, and strongly-typed protocol using HTTP/2, while REST is a simpler, text-based, and stateless protocol using HTTP with JSON/XML.

How to Fix Python's "List Index Out of Range" Error in For Loops

The List Index Out of Range error often occurs when working with lists and for loops. You see, in Python, when you attempt to access an element using an index that lies outside the valid index range of the list, you're essentially telling the program to fetch something that isn't there, resulting in this common error. For example, if you have a list with 3 elements: The valid indices for this list are 0, 1, and 2 (since Python uses zero-based indexing).