Systems | Development | Analytics | API | Testing

The updates we make to Perforce ALM are deeply influenced by the real-world challenges our users face. We understand that those who work in highly regulated industries need trustworthy tools that deliver precision, traceability, and efficiency. That’s why we plan each round of ALM enhancements based directly on user comments and suggestions. This quick guide will look at recent updates around tagging and filtering and how to leverage these features for a more intuitive and efficient user experience.

Most finance leaders are curious about AI—but hesitant to adopt it. The concern makes sense: what happens if automated systems pull the wrong data or miss critical details? Yet finance teams need some help. Teams are stretched thin. Reporting cycles are taking too long. When they’re relying on manual processes, they can’t keep pace with growth. Sound familiar? On a recent episode of the podcast “Don’t Panic!

Do you know where your data is? The number of people who can pat their server and say fondly, “Right here!” is decreasing. Instead, more people are lifting their eyes to the heavens and answering, “Um… up there… somewhere…” McKinsey reports that in 2025, large enterprises have 60% of their environment in the cloud. If you’re considering moving your data assets, processes, and applications to the cloud, you’re in good company.

Mobile crash reporting keeps apps reliable at scale, helping developers root out the cause of problems and prevent them recurring. In this guide, we compare the top mobile crash reporting tools for 2025, including Android-friendly and cross-platform options, to help you choose the right fit for your workflow. You’ll find: This guide focuses on what truly matters for real development teams, not just feature lists. And yep, we’re slightly biased, as one of the solutions is our own.

Hi everyone, I’m Elly, Katalon Community Specialist by title, tester at heart. I spend a good chunk of my time researching around the Katalon Forum reading bug reports, answering questions, and watching how this brilliant community solves problems together. Over the past month, I’ve been tracking what everyone’s been talking about: the tricky bugs, the clever fixes, and the shout-worthy contributions. This post is my way of sharing that back with all of you.

What if a single, untriggered logical flaw could compromise an autonomous vehicle’s braking system or ground a commercial airliner? The stakes are unbelievably high with safety-critical software. Traditional code coverage metrics, however, often fail to test the subtle, complex dependencies within a single decision. Knowing that a line of code executed isn’t the same as knowing the logic works.

Enterprise integration has shifted from simple data connections to AI-driven ecosystems that manage, analyze, and optimize workflows in real time. Here's what you need to know: APIs are the backbone of modern businesses, linking systems like CRMs, ERPs, and analytics tools. They eliminate manual data entry, reduce errors, and support microservices architectures. AI systems are the next step, addressing the complexity of managing hundreds of APIs.

Conversational AI promises radical simplicity and agility for analytics of all kinds.

The DragonRuby Game Toolkit is a powerful, cross-platform 2D game engine that allows you to create fun game titles while staying in your favorite developer-friendly language. What's not to love? In this post, we are going to cover the basics of game development with DragonRuby. We will use a "Flappy Bird" clone to explain the fundamental concepts. But before we get started, let's address two initial concerns you might have about DragonRuby right off the bat.

Test automation efficiency revolutionizes software quality assurance by transforming time-intensive manual processes into rapid, reliable, and repeatable testing cycles. The smartest QA teams recognize that automation isn't about replacing testers; it's about amplifying their impact and maximizing the value they deliver to the business.