Systems | Development | Analytics | API | Testing

Artificial intelligence is changing how every team, from startups to global brands, builds, learns, and competes. But AI is only as powerful as the data it’s built on. That’s why we’ve rebuilt Countly from the ground up, to make data faster, smarter, and truly AI-ready.With Countly 26.01, we’re introducing our next-generation data engine: This release marks a turning point for Countly: from analytics to intelligence.

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 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.

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.

‍ 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.

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.

Prisma is a modern open-source database toolkit designed to simplify data workflows for developers. It provides a powerful and intuitive way to interact with databases, and it is type-safe. Prisma works well in a monorepo because it can be used in both the frontend and backend of a full-stack application. This enables developers to share types and logic across the entire codebase, resulting in a more efficient development process.

Have you ever observed an application that was completely functional, and suddenly it starts lagging at peak usage? Most teams are concerned with functionality first and performance under load second. Open source load testing tools expose your application’s bottlenecks before your users notice them. In this blog, we explain how these tools work, compare their features, and discuss best practices.

Your connectivity decisions have long-term consequences. They affect development velocity, cost structure, and time-to-market for years. When evaluating ODBC and JDBC connectivity options, technical leaders face pressure to deliver quickly while managing constrained resources and demonstrating ROI. Building connectors appears cost-effective when evaluating initial development costs alone.

In our fourth Release of 2025, we included PHP 8.5 support on the day of its release and Heartbeats to monitor your application’s pulse more closely than ever. If something is offbeat, you’ll receive timely alerts. We improved alerting by introducing fine-granular transaction level response time and made automatic tracepoint triggers more powerful.