Systems | Development | Analytics | API | Testing

Concurrency means running multiple tasks at the same time, and it’s a great way to ensure our apps stay responsive. Swift 5.5 introduced structured concurrency and the closely related concept of async/await to improve the management of asynchronous code, part of a wave of changes designed to ensure simpler code, improved error handling and automatic task lifecycle management.

Over the past few years, model providers have invested heavily in “guardrails”: safety layers around large language models that detect risky content, block some harmful queries, and make systems harder to jailbreak.

Do you find yourself questioning why popular apps sometimes crash or act unusually? Regardless of how hard software is crafted, bugs are a huge obstacle for teams, often resulting in unhappy users, lost revenue, or even product release delays. Most organizations are unable to track these bugs effectively and so they often use a mix of spreadsheets, or scattered scribbled notes and lose them in the shuffle—causing confusion, repeated work, and issues that aren’t resolved.

This blog expands on insights Amjadh Ifthikar shared during his WSO2Con Asia 2025 presentation. Watch the full session here.

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!

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.