Systems | Development | Analytics | API | Testing

The recent article on OpenAI overhauling its payment systems to reduce its dependency on Stripe highlights an important tension many digital platform builders face today: how to balance usage-based monetization with the realities of payments infrastructure dependency.

If you compare the world 10 years ago with today's era, you can easily see the difference. From the difference, we don’t mean how the world looks, rather we mean how it functions now and used to function then. What do you think has changed in how the world functions now compared to back then? Is it purely due to digitalization? Or is it just a mere change? Keeping these questions aside, let us tell you that recent data suggests that people spend around 3 hours and 15 minutes on their phones daily.

Artificial intelligence is transforming how organizations access and analyze data. But for most teams, connecting AI tools to real business data remains a major challenge. Security, governance, and integration complexity often slow down or completely block AI adoption. To help developers and data teams bridge that gap, we are excited to introduce the DreamFactory AI Academy.

Every successful listing starts with the right price, but in today’s fast-moving market, manually valuing properties can be slow, inconsistent, and risky. AVM platforms give brokerages the power to generate instant, data-driven valuations, helping agents set competitive prices, win more listings, and close deals faster. We break down what an AVM platform is, the challenges brokerages face, the key data and features to prioritize, and how to turn complex market data into actionable insights.

When it comes to developing cross-platform apps, Flutter is one of the top choices that comes to developers' minds. But, what’s the reason behind it? Thanks to the innovative cross-platform development capabilities offered by the Flutter framework, creating native applications for both Android and iOS platforms has become remarkably simple.

With an ever-growing user base of approximately 6.7 billion active smartphone users globally, mobile apps have become an integral part of our modern existence and digital transformation. Recognizing their omnipresence and revenue-generating potential, it becomes imperative not to overlook their significance. Nevertheless, one of the initial queries posed by clients while presenting their app concepts to us revolves around understanding the app development cost.

Exceptions are inevitable. It’s how we deal with them that matters. An effective exception handling regime is the difference between an app that only works in sandbox and one that can adapt and scale in the real world. JavaScript can throw up all kinds of weird and wonderful exceptions, because it runs in inherently unpredictable environments. So we’ve put together this guide to give you a clear, repeatable plan for handling them.

‍Mobile development has a reputation for being slow, complex, and harder than it needs to be. Platform quirks, rigid review gates, and ever-growing app complexity can make it feel like the toolchain is working against you. But the data tells a different story. We analyzed tens of millions of builds across thousands of mobile teams on Bitrise, spanning three years of real-world data from 2022 to 2025. The results challenge some common assumptions, and confirm others.

We’re proud to share that Kong Insomnia has been recognized as a vendor in the Gartner Market Guide for API and MCP Testing Tools in February, 2026. In a rapidly evolving landscape where AI-driven integration and MCP servers are reshaping how APIs are built, tested, and consumed, being recognized by Gartner validates what our community and customers already know: Insomnia is a serious, enterprise-ready platform for modern API development and testing.