Systems | Development | Analytics | API | Testing

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.

AI isn’t just some side project anymore. These days, it’s a real budget line for big companies, something boards talk about all the time. Global investment in AI is about to break $300 billion a year. McKinsey says AI could add up to $4.4 trillion to the economy every year. That’s huge. But even with all this promise, a lot of businesses still have trouble figuring out if their AI projects are actually paying off. That’s the spot most CXOs are stuck in now.

Replacing an API platform while partners depend on live integrations requires disciplined evaluation, precise compatibility planning, and a rollout that avoids downtime. This guide provides a practical playbook for IT and project managers to assess readiness, choose a target platform, and migrate with confidence. You will learn how to baseline current behavior, design a versioning and compatibility strategy, and stage a controlled cutover.

Every successful PropTech product combines accurate data with thoughtful engineering. This is the goal of the partnership between ORIL and BatchData. The BatchData platform provides extensive U.S. property data and predictive analytics. ORIL uses this data to design and build practical, production-ready real estate platforms.

AI is already here and will be here for years and years to come. The best part is that it will be upgraded to a better version every passing day. And it will keep getting better and better. You must have seen now how people are actively using AI tools these days, and one of the famous examples would be ChatGPT. So, what’s shifting this change? What’s making people so reliant on gen AI tools?

Modern enterprises need to spin up APIs fast without sacrificing control. This guide explains architectural patterns that increase delivery speed while keeping security and governance intact. You will learn how an API abstraction layer, implemented with DreamFactory, decouples experience delivery from systems of record, enables identity passthrough, enforces role-based access, and supports on-prem LLMs.

We're excited to announce that Kong just took home the AI Innovator of the Year award from SiliconANGLE Media's 2026 Tech Innovation CUBEd Awards. SiliconANGLE Media runs this annual awards program to recognize companies, technologies, and people moving the needle in B2B tech. Winners go through a review process by industry analysts and experts.