Systems | Development | Analytics | API | Testing

The new bugsnag-kmp SDK is a unified error monitoring solution for Kotlin Multiplatform (KMP) projects, enabling developers to track and monitor errors across Android, iOS, and web platforms from a single codebase. The new SDK works seamlessly on Android, iOS, and web browsers Native Integration, each one linking directly with our existing platform SDKs.

Software release cycles are accelerating. In fact, 85% of organizations now release at least once per month, with a 51% increase in automated testing spend last year alone. Yet API quality still breaks down. Why? APIs sit at the center of this acceleration, but as velocity increases, many organizations face a persistent challenge.

Everyone thinks AI is getting cheaper. But is it really? At first glance, the economics of AI seem to be improving for everyone. Thanks to continued model optimization and advances in hardware, the cost of running LLMs (also known as inference) is steadily decreasing. Developers today can access incredibly powerful models at a fraction of what it cost just a year ago. But there’s a catch.

Another day, another API. Fueled by AI-assisted coding and agile workflows, the speed of innovation has never been higher. But for the compliance team? It’s panic mode. Every new API must follow a minefield of internal rules: security protocols, naming conventions, reuse policies, documentation standards. And while the dev team is flying forward, compliance is stuck doing manual reviews, chasing specs, and untangling inconsistencies often after the code is already written.

Mobile apps aren’t just another digital touchpoint anymore – they’re the front line. Whether you’re banking, booking a ride, ordering dinner, or catching up on emails, it’s happening on your phone. But when things go wrong, customers don’t wait around. According to PwC, 32% of customers would stop doing business with a brand they love after just one bad experience.

In today’s software landscape, APIs are more than just a technical interface, they’re the connective tissue of modern digital products. Organizations embracing API-first strategies aren’t just producing better APIs – they’re fueling faster innovation, scalable architectures, and smoother collaboration across teams. But transitioning to an API-first strategy isn’t always a smooth ride.

At SmartBear, we celebrate innovators in software testing who make a real impact on their teams. The Automation All-Star Award celebrates the pioneers using SmartBear Zephyr’s no-code automation to achieve transformative results. We’re thrilled to share the stories of this year’s winner, RAC Motoring Services, and our fantastic finalists: Capgemini, Infor PSSC, Pepper Money, and the Center for Sustainable Energy (CSE).

This article originally appeared on SD Times on May 30, 2025. We’re sharing it here for our audience who may have missed it. The headlines are seductive: AI will replace developers. Coding is dead. Ship 10x faster with half the team. It’s the kind of hype that grabs attention and fuels confusion.

Your business isn’t slowing down, and neither can your API strategy. For teams navigating digital transformation and laying the groundwork for AI-readiness, APIs sit at the core. Yet for many organizations, the challenge isn’t why APIs matter – it’s how to deliver them consistently, securely, and at scale. Bridging the gap between strategy and execution is what sets forward-looking teams apart.