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By Wiktoria Tyc
Some approaches to API governance interrupt developers mid-flow, forcing them to context-switch into a separate tool and manually verify their API definition before they can ship. That approach has never really worked. Not because developers don’t care about quality, they do, but because the best time to fix an API is the moment you’re already thinking about it. That’s what has always guided how Swagger grows. Not “come to us.” But “we’ll be there.”
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By Daisy Priya
GitHub Copilot, Claude, and Cursor have become genuine superpowers for API development. They draft OpenAPI definitions, generate endpoints, propose schema changes, and write test cases — all from inside the IDE, in real time. Teams using these tools are generating API definitions faster than most thought possible even a few years ago. That velocity is real, and it’s reshaping how engineering teams think about their toolchain.
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By Rob McNeil
An automation suite that’s losing ground rarely makes it obvious. Coverage numbers look reasonable. Tests are running. The CI pipeline is green more often than not. Meanwhile, the team is quietly working around what isn’t working – rerunning tests until they pass, deferring maintenance, or accepting a regression window that’s wider than it should be. Those workarounds can feel normal. They aren’t.
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By Rob McNeil
Automated test suites tend to follow the same arc. The suite works well until the application changes and a block of tests fails. Someone fixes them. The application changes again. At some point, the work of keeping tests current starts consuming the time that should go toward coverage decisions, risk assessment, and the testing work that requires human judgment.
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By Rob McNeil
Autonomous testing is one of the most talked about developments in software quality right now. It shows up in analyst reports, vendor pitches, conference talks, and job descriptions – often in the same breath as automated testing. Most of those conversations treat the two as interchangeable, or worse, position autonomous testing as simply a smarter, more advanced version of what teams already do.
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By Rob McNeil
Not every test automation problem looks the same. A team maintaining complex desktop applications in a controlled financial services environment has different automation needs than a team shipping web and mobile updates every two weeks. The application, the environment, and the people creating tests all shape what “good automation” has to do.
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By Daisy Priya
For teams building APIs as products, the developer portal is the front door to your business. It’s where partners discover your endpoints, where customers authenticate and start integrating, and where the quality of the experience directly shapes adoption. Now that changes.
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By Manisha Talwar
AI is accelerating how teams build and ship software, but validating quality is getting harder, not easier. More AI-generated code means more to test, more API drift to catch, and more documentation that falls behind. The work is growing faster than teams can keep up.
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By Matt Bonner
There is a specific kind of confidence that comes with deploying software. Not just “the tests passed” confidence, but the kind that comes from knowing the services your application depends on still behave the way you expect them to. Preserving that integrity becomes harder as systems grow, teams move faster, and AI agents become active participants in delivery workflows.
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By Alisha Siddhartha
For everyone in QA inside the Atlassian ecosystem, the last few months have made one shift obvious. AI is changing how software gets built, and the quality function must change with it.
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By SmartBear
The real bottleneck is knowing what to build before you start. Pro tip from Senior Software Engineer Josh Ellis: treat every AI agent every AI agent like a junior dev he's onboarding: define the what, the how, and the hard limits upfront. The plan drives the output, not the other way around.
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By SmartBear
See how SmartBear Reflect uses agentic AI to build end-to-end tests in minutes and keep them resilient as your application changes. In under 20 minutes, Reflect co-creator, and SmartBear Director of Product Management, Todd McNeil walks through live test creation across web and mobile, with zero fluff.
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By SmartBear
our API didn't break – it just stopped matching its contract. API drift is one of the sneakiest problems in modern API development. Your OpenAPI definition says one thing, your running implementation does another, and nobody notices until a consumer integration fails or a user hits an unexpected error. The longer it goes undetected, the harder it is to trace back to the source.
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By SmartBear
They fit into the workflows, processes, and environments teams already have. As Chris Armstrong, Manager of Developer Relations at SmartBear, explains, every organization is on a different stage of its journey. Some are exploring AI. Others are scaling it. Many are managing a mix of legacy systems, modern platforms, and everything in between. What teams need isn't another platform that demands a complete overhaul. They need solutions that respect their context while helping them move forward with confidence.
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By SmartBear
Discover how QMetry streamlines test management with this comprehensive walkthrough covering requirements management, test design, test execution, automation, reporting, and AI-powered productivity features. Struggling with disconnected testing processes, manual test execution, and limited visibility into quality across your software development lifecycle? This complete QMetry tutorial shows testers, QA teams, and engineering organizations how to manage the entire testing workflow in a single platform, from requirements to release.
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By SmartBear
We've been getting a lot of questions about how Rovo works with Zephyr, so Matt Bonner gives a quick look at a few of the capabilities teams are finding most valuable: Test case generation Test coverage insights Release Risk Analyzer.
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By SmartBear
What did Atlassian Team ’26 reveal about the future of software quality and AI-powered delivery? In this recap from the event floor inside the Anaheim Convention Center, SmartBear shares key themes from the event, including Atlassian Rovo, the Teamwork Graph, AI-driven workflows, and how QA teams are adapting to faster, AI-assisted software delivery inside Jira. See quick highlights from the event floor, SmartBear’s latest Zephyr innovations, and how conversational AI and quality intelligence are becoming part of the modern software delivery workflow.
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By SmartBear
SmartBear ReadyAPI's AI-powered test generation instantly builds functional test cases from a simple natural language prompt. Stop writing API tests manually and let AI do the heavy lifting. In this demo, we show how you can take an OpenAPI spec and generate tests complete with assertions, authentication headers, test data, and request chaining. Whether you test complex microservices or APIs with hundreds of endpoints, ReadyAPI helps QA teams move faster without sacrificing quality or control.
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By SmartBear
AI is changing how testing gets done. As automation grows, so does the complexity of tracking what’s been tested, what passed, and what’s ready to release. See how SmartBear Reflect and QMetry work together to scale AI-powered test automation without losing visibility or control. Reflect makes it easy to create and run automated tests using plain language, while QMetry brings structure to that speed, connecting tests, results, and reporting into a single system of record.
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By SmartBear
SmartBear’s study Closing the AI software quality gap found that 60% of teams have already experienced quality issues tied to AI-generated code, evidence of how increased abstraction is changing how software gets built. When development shifts from well-defined requirements to prompts and generated outputs, it becomes much harder to understand what the system is actually supposed to do, and what you should be testing against.
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By SmartBear
Now, more than ever, the success of your business hinges on your ability to ensure a quality Web experience for both internal and external users. We're not talking about just design, either. Your customers are demanding fast access to quality Web content that displays properly on any mobile or web device of their choosing. Download this eBook, and see if you're running the right tests to be sure your website is adapting.
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By SmartBear
We rely on APIs for critical aspects of our digital infrastructure. Much like the nails that connect and support a house's foundation, APIs ensure that the necessary parts of your digital network are connected. Understanding how they are behaving is vital to gain full visibility into the performance and availability of your digital assets.
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By SmartBear
Our AlertSite team supports businesses in monitoring and maintaining a stellar user-experience with accurate, actionable performance insights for web and mobile applications, websites, and APIs.
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By SmartBear
We've all heard the stories about the overnight sensation that took decades to achieve. The "API Revolution" has that same feel to me. Some version of APIs has been at the heart of application development for many years, but as the web application world grew more and more connected and developers learned to leverage code built outside their own application, the API industry began to boom and flourish.
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By SmartBear
When it comes to APIs, performance is just as important as accuracy. No matter how good the features and functionality of your application might be, if it performs poorly by crashing or loading slowly, your users will lose interest quickly. With this in mind, we've put together a comprehensive guide to the fundamentals of API load testing.
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By SmartBear
Where do performance testing and monitoring fit into the Agile and DevOps development process? Implementing a process for improving the performance of your applications requires the right tools to help you do it. These tools go beyond the responsibilities of your development team to ensure that applications are tested in pre-deployment and monitored after your application is live in production. This eBook will provide the tactical advice you need to implement a strategy that works for your organization.
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By SmartBear
Modern applications are developed, tested and delivered to end-users in ways that simply didn't exist five years ago. In order to meet increasingly high user expectations, businesses need to deliver higher quality software at a faster rate, and those that fail to do so will lose market share to competition that does.
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By SmartBear
There are two primary techniques for monitoring web and mobile applications-synthetic monitoring, and real monitoring-each with very different capabilities, advantages and disadvantages. How do you know which technique to use?
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By SmartBear
While APM solutions have been mitigating poor user experiences since the early 90s, only recently have these tools begun to deliver on the promise of proactively identifying and diagnosing performance issues before users are impacted-but they are still far from perfect. For starters, why the lack of unified functionality? Why do we still need multiple tools in order to deliver a single APM solution? Or do we?
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By SmartBear
Now, more than ever, the success of your business hinges on your ability to ensure a quality Web experience for both internal and external users. We're not talking about just design, either. Your customers are demanding fast access to quality Web content that displays properly on any mobile or web device of their choosing. Download this eBook, and see if you're running the right tests to be sure your website is adapting.
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SmartBear provides high-impact, easy-to-use tools for software teams to plan, build, test, and monitor great software, faster. We create the software tools that development, testing, and operations teams use to deliver the highest quality and best performing software possible, shipped at seemingly impossible velocities.
With products for code review, API and UI level testing, and monitoring across mobile, web and desktop applications, we equip every member of your team with tools to ensure quality at every stage of the software cycle.
The World’s Best Software Development Teams Use SmartBear Tools:
- SoapUI Pro integrates with your entire API delivery ecosystem, from design and mocking to issue reporting and deployment. With an open core plugin framework, integrations to the following areas make ReadyAPI and SoapUI Pro the most extensible and connected API testing suite in the world.
- With LoadUI Pro, you can reuse your functional API tests built on the industry's #1 open-source based API testing tool, SoapUI Pro to speed testing and reduce the time it takes you to deploy high performance REST and SOAP web services.
- SwaggerHub is engineered to give organizations and teams the best possible experience for maintaining and scaling their API development, from design to deployment.
- AlertSite gives you full visibility into the health of your websites, web applications, mobile applications, cloud applications, and APIs, so you can deliver an exceptional end-user experience. Key features of the AlertSite Platform include: Hybrid Deployment, Real-Time Alerts, Codeless Web Recorder, Real Browser Playback, Single-Sign On.
Release your passion to create great software, think bigger, and build smarter.