Systems | Development | Analytics | API | Testing

In this post, we'll explore two advanced JIT compilers for Ruby: TruffleRuby and JRuby, looking at their benefits and drawbacks. We'll also briefly touch on the recently announced ZJIT compiler. But before we get started, let's define JIT compilation.

Error handling might not be the most exciting aspect of web development, but it's arguably one of the most critical. When building Express applications, how you manage errors can make the difference between a robust, production-ready system and one that crumbles under real-world conditions. In this article, we'll examine Express' default error handling behavior and learn how to customize it for different scenarios.

Most software testing tends to follow a defined plan, with test cases listed in written form. However, sometimes the quickest way to find bugs is to use the application without any scripts in front of you, basically like a real user would do. This is the essence of Ad Hoc Testing. Ad Hoc Testing is an informal and mostly unstructured testing technique where you are relying purely on your brain and instincts instead of documentation.

Over the first half of this year, I’ve had the unique privilege of traveling across EMEA, APAC, and the US, leading our global Agentic AI workshop series. From London to Singapore to Mumbai, I’ve had a front-row seat to how enterprises—across industries and continents—are rethinking what software can be in an age of intelligent systems. And I can confidently say: the era of Agentic AI has arrived.

Analytics and reporting can help businesses transform data into actionable insights, identify customer behavior patterns, measure each department’s performance, and improve operational efficiency. And this is just the tip of the iceberg. However, while these two terms are often used interchangeably, they represent different approaches to understanding and communicating data.

South Africa’s Joint Standard on Cybersecurity & Cyber Resilience (JS2) is reshaping the regulatory landscape. Financial institutions must now rethink how they manage sensitive data. For data compliance leaders, this marks a critical shift where failing to adapt could bring serious consequences. This blog will examine what JS2 means for your organization’s data compliance efforts. Then, discover how Perforce solutions can help you in building a resilient data compliance program.

With the EU AI Act now in force, compliance is no longer about aspirational ethics or last-minute checklists, it’s about operationalizing quality assurance at every stage of your AI lifecycle.

Picture the scene. You're sitting in yet another budget meeting, and someone inevitably pipes up with the golden question: "Why are we paying for seven different tools when we could just use one?" Everyone applauds. Confetti bursts from the ceiling. There’s a cake for some reason. That’s the siren song of vendor consolidation. It's everywhere these days, and honestly? It makes sense. Finance loves it because it’s cost savings that can be easily represented as a budget line item.

The Model Context Protocol (MCP) is quickly becoming a foundational layer for AI systems. It enables large language models and AI agents to interact with external tools and data sources over standardized JSON-RPC interfaces. By doing so, MCP transforms how intelligent applications consume APIs. Reading local files, controlling IoT devices, orchestrating backend workflows—MCP servers act as structured gateways between AI and your business logic.