Systems | Development | Analytics | API | Testing

In part one of this series, we started developing a simple Flappy Bird clone game using the DragonRuby game development toolkit. We didn't come very far, though — we stopped after integrating player input to keep our plane afloat. In this second and concluding part, we'll implement the remaining simple game mechanics. We'll also take a brief look at interfacing with an HTTP server and publishing our game on itch.io.

‍ Picture this: you finish your morning run, your smartwatch buzzes, and within seconds your phone shows your heart rate, pace, calories, and recovery time, all in one dashboard. That smooth, data-rich experience? It’s powered by apps like Garmin Connect, which have redefined how millions track and improve their fitness.

Automation has always been at the heart of efficient testing. It speeds up validation, eliminates repetitive steps, and helps teams catch issues earlier. However, even with great automation frameworks in place, one challenge persists: how to quickly and accurately convert manual tests into automated scripts? For most teams, this process still requires time, technical skill, and lots of rewriting.

In today's hyper-competitive digital world, software is no longer a basic, single thing. We live in a world with distributed architectures, microservices, cloud-native environments, and complicated API ecosystems. This complexity has changed how we produce things, but it has also broken down conventional, walled-off ways of ensuring quality, pushing the boundaries of traditional software testing services.

In 2023, the EU introduced measures to ensure there will be focus on the gender pay gap and at the same time strengthen employee rights, especially for companies that have more than 100 employees. For businesses and specifically HR Professionals, this directive coming into force in the mid-point of 2026 creates several challenges that require both operational and strategic responses.

In an era of economic uncertainty and rapid digital transformation, finance and accounting professionals face a paradox: their data has never been more abundant, yet access to it has never been more challenging. Kevin Gibson, CPA and Principal Solutions Engineer at insightsoftware, recently sat down with Scott Taylor on an episode of the Don’t Panic!

TL;DR: Claude Code writes features fast, but you need integration tests. With proxymock MCP, Claude Code can pull real production traffic and validate your changes automatically—one prompt, no manual setup. Watch it catch bugs before production.

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.

It’s a common idea across the tech industry: AI is fueling a new wave of technological innovation. Test automation is no exception. Over three decades, enterprise QA customers have turned to Tricentis Tosca to transform inefficient testing practices with model-based automation. Now, the company you’ve relied on for scalable, codeless test automation is entering a new era of agentic testing with Tosca’s cloud deployment as its foundation.

Cowboy is a small, fast, and modern HTTP server for Erlang/OTP. It particularly shines when handling multiple concurrent connections with minimal overhead. This makes it a perfect choice for building lightweight, real-time streaming services. In this article, we’ll build a tiny real-time text pub/sub server using Cowboy. Our service supports HTTP-based publishing, allowing clients to subscribe using either WebSockets or Server-Sent Events (SSE).