Systems | Development | Analytics | API | Testing

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.

Over the weekend, I was looking to book flights for holidays. All excited, I was able to find a decent price for my family to head for some sunshine later this summer. I reached the payment stage, and that’s where the excitement and smile stopped. I was waiting for confirmation that my payment was finalizing, but then the system took a turn, and I was back on the booking page. Even more, I now had a higher price to pay for the flights. Did I continue with booking, NOOOOOO.

The shift is already happening. Over the past few years, you’ve invested resources in optimizing your APIs for human developers. Meanwhile, a new class of customers has quietly emerged – one that never takes coffee breaks, never sleeps, and processes information at superhuman speeds. AI agents are rapidly becoming the primary consumers of APIs, and this fundamental change demands a complete rethinking of how we design, deploy, and maintain our digital interfaces.

If you’ve ever tracked bugs across half a dozen tools, juggled spreadsheets, or tried to make sense of test results buried in an email thread, you’ve felt the pain of outdated test management. As software development speeds up with agile and CI/CD, the role of test management has changed. What used to be a support function is now central to delivering quality software fast. And if your test management approach hasn’t evolved, it’s holding you back.

Software teams know the drill: deliver faster without sacrificing quality. You’ve heard it before because you live it every day. Testing is often where that pressure hits a breaking point, but it doesn’t have to. At SmartBear, we help developers and testers like you seamlessly integrate automated testing into existing workflows and CI/CD pipelines. That’s why we’ve partnered with AWS CodePipeline to bring powerful, AI-driven test automation to your delivery process.

As QA teams scale, getting the right data at the right time becomes critical. Yet too often, it’s buried in folders, slowed by clunky filters, or locked behind SQL queries causing wasted time, delayed cycles, and inconsistent reporting. But moving as fast as we are today, you can’t wait on reports or guess where a test case lives. You need answers now. With QMetry’s Smart AI Search and AI-powered SQL generation, QA teams get instant access to data in natural language. No hunting.