Systems | Development | Analytics | API | Testing

When the automotive industry introduced the concept of Levels of Autonomy, it gave us a shared language for something profound. It wasn’t just about self-driving cars, it was about how humans and intelligent systems work together as execution gradually shifts from one participant to the other. Level 0 is full human control. Level 5 means the car can handle any situation on its own. And between those two extremes are a series of stages that capture both technological progress and human adaptation.

We’re proud to share that Gartner has recognized SmartBear as a Visionary in the 2025 Gartner Magic Quadrant for API Management. We believe this recognition reflects our dedication to API development teams and to delivering practical solutions that drive excellence. APIs are essential, allowing businesses to move faster, integrate easily, and deliver the best experiences for their customers.

APIs and AI are on a collision course. For decades, APIs have been the foundation of digital reliability: deterministic systems where you send a request, get a predictable response, and trust that what’s defined is what will happen. AI doesn’t play by those rules. Large language models and AI agents operate in probabilities. They don’t just follow contracts; they interpret them. They learn, infer, and sometimes hallucinate.

The term “Behavior Driven Development”, or BDD, is an umbrella term for a wide variety of techniques. The general principles of BDD include reframing tests as descriptions of system behavior – “when I do one thing, I should see this result”. Historically, those descriptions were the output of a computer program. Over time, the uses of BDD shifted toward Gherkin, an English-like but precise language.

For decades, testing was about ensuring predictable outcomes in mostly static environments. Today, AI-driven applications are dynamic, adaptive, and sometimes unpredictable. That raises the stakes for quality engineering. When Gartner rolls out a brand-new Magic Quadrant, it’s a big deal to those of us in the software industry. We believe it signifies a new, innovative tech has officially arrived on the global stage.

BugSnag now supports applications built with the Vega Developer Tools from Amazon Devices & Services, giving developers immediate visibility into the stability of their TV-first apps. This launch is part of a deeper collaboration between SmartBear and Amazon, extending beyond tooling support into a broader partnership that accelerates software quality across the Amazon ecosystem.

The world is filled with products and services that power our everyday lives. As consumers, we all appreciate the benefits of a great product. But think back to the last time you used an app or website that was slow to load or failed to open. Experiences like that can leave a lasting negative impression and hurt a business’s reputation.

Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.